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Neural and Evolutionary Computing Mar 2025
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href=/list/cs.NE/2025-03?skip=0&show=2000 rel="nofollow"> all</a> </div> <dl id='articles'> <dt> <a name='item1'>[1]</a> <a href ="/abs/2503.00040" title="Abstract" id="2503.00040"> arXiv:2503.00040 </a> [<a href="/pdf/2503.00040" title="Download PDF" id="pdf-2503.00040" aria-labelledby="pdf-2503.00040">pdf</a>, <a href="https://arxiv.org/html/2503.00040v1" title="View HTML" id="html-2503.00040" aria-labelledby="html-2503.00040" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00040" title="Other formats" id="oth-2503.00040" aria-labelledby="oth-2503.00040">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Memory-Free and Parallel Computation for Quantized Spiking Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+D">Dehao Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+S">Shuai Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xiao,+Y">Yichen Xiao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wei,+W">Wenjie Wei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shan,+Y">Yimeng Shan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+M">Malu Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yang,+Y">Yang Yang</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item2'>[2]</a> <a href ="/abs/2503.00594" title="Abstract" id="2503.00594"> arXiv:2503.00594 </a> [<a href="/pdf/2503.00594" title="Download PDF" id="pdf-2503.00594" aria-labelledby="pdf-2503.00594">pdf</a>, <a href="https://arxiv.org/html/2503.00594v1" title="View HTML" id="html-2503.00594" aria-labelledby="html-2503.00594" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00594" title="Other formats" id="oth-2503.00594" aria-labelledby="oth-2503.00594">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Estimation of total body fat using symbolic regression and evolutionary algorithms </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Mu%C3%B1oz,+J">Jose-Manuel Mu帽oz</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mor%C3%B3n-Garc%C3%ADa,+O">Odin Mor贸n-Garc铆a</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hidalgo,+J+I">J. Ignacio Hidalgo</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Costilla-Reyes,+O">Omar Costilla-Reyes</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at Evostar 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item3'>[3]</a> <a href ="/abs/2503.00713" title="Abstract" id="2503.00713"> arXiv:2503.00713 </a> [<a href="/pdf/2503.00713" title="Download PDF" id="pdf-2503.00713" aria-labelledby="pdf-2503.00713">pdf</a>, <a href="https://arxiv.org/html/2503.00713v3" title="View HTML" id="html-2503.00713" aria-labelledby="html-2503.00713" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00713" title="Other formats" id="oth-2503.00713" aria-labelledby="oth-2503.00713">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Sun,+Y">Yinqian Sun</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhao,+F">Feifei Zhao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lv,+M">Mingyang Lv</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zeng,+Y">Yi Zeng</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item4'>[4]</a> <a href ="/abs/2503.00721" title="Abstract" id="2503.00721"> arXiv:2503.00721 </a> [<a href="/pdf/2503.00721" title="Download PDF" id="pdf-2503.00721" aria-labelledby="pdf-2503.00721">pdf</a>, <a href="https://arxiv.org/html/2503.00721v1" title="View HTML" id="html-2503.00721" aria-labelledby="html-2503.00721" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00721" title="Other formats" id="oth-2503.00721" aria-labelledby="oth-2503.00721">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Aerial Secure Collaborative Communications under Eavesdropper Collusion in Low-altitude Economy: A Generative Swarm Intelligent Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+J">Jiahui Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sun,+G">Geng Sun</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wu,+Q">Qingqing Wu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liang,+S">Shuang Liang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+J">Jiacheng Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Niyato,+D">Dusit Niyato</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kim,+D+I">Dong In Kim</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Signal Processing (eess.SP) </div> </div> </dd> <dt> <a name='item5'>[5]</a> <a href ="/abs/2503.00844" title="Abstract" id="2503.00844"> arXiv:2503.00844 </a> [<a href="/pdf/2503.00844" title="Download PDF" id="pdf-2503.00844" aria-labelledby="pdf-2503.00844">pdf</a>, <a href="https://arxiv.org/html/2503.00844v1" title="View HTML" id="html-2503.00844" aria-labelledby="html-2503.00844" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00844" title="Other formats" id="oth-2503.00844" aria-labelledby="oth-2503.00844">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Impact of Surrogate Model Accuracy on Performance and Model Management Strategy in Surrogate-Assisted Evolutionary Algorithms </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Hanawa,+Y">Yuki Hanawa</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Harada,+T">Tomohiro Harada</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Miura,+Y">Yukiya Miura</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item6'>[6]</a> <a href ="/abs/2503.00898" title="Abstract" id="2503.00898"> arXiv:2503.00898 </a> [<a href="/pdf/2503.00898" title="Download PDF" id="pdf-2503.00898" aria-labelledby="pdf-2503.00898">pdf</a>, <a href="https://arxiv.org/html/2503.00898v1" title="View HTML" id="html-2503.00898" aria-labelledby="html-2503.00898" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00898" title="Other formats" id="oth-2503.00898" aria-labelledby="oth-2503.00898">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Range and Angle Estimation with Spiking Neural Resonators for FMCW Radar </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Reeb,+N">Nico Reeb</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lopez-Randulfe,+J">Javier Lopez-Randulfe</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Dietrich,+R">Robin Dietrich</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Knoll,+A+C">Alois C. Knoll</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item7'>[7]</a> <a href ="/abs/2503.02013" title="Abstract" id="2503.02013"> arXiv:2503.02013 </a> [<a href="/pdf/2503.02013" title="Download PDF" id="pdf-2503.02013" aria-labelledby="pdf-2503.02013">pdf</a>, <a href="/format/2503.02013" title="Other formats" id="oth-2503.02013" aria-labelledby="oth-2503.02013">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Sustainable AI: Mathematical Foundations of Spiking Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Fono,+A">Adalbert Fono</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Singh,+M">Manjot Singh</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Araya,+E">Ernesto Araya</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Petersen,+P+C">Philipp C. Petersen</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Boche,+H">Holger Boche</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kutyniok,+G">Gitta Kutyniok</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item8'>[8]</a> <a href ="/abs/2503.02180" title="Abstract" id="2503.02180"> arXiv:2503.02180 </a> [<a href="/pdf/2503.02180" title="Download PDF" id="pdf-2503.02180" aria-labelledby="pdf-2503.02180">pdf</a>, <a href="https://arxiv.org/html/2503.02180v1" title="View HTML" id="html-2503.02180" aria-labelledby="html-2503.02180" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.02180" title="Other formats" id="oth-2503.02180" aria-labelledby="oth-2503.02180">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Discrete Differential Evolution Particle Swarm Optimization Algorithm for Energy Saving Flexible Job Shop Scheduling Problem Considering Machine Multi States </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+D">Da Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+Y">Yu Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+K">Kai Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+J">Junqing Li</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Li,+D">Dengwang Li</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item9'>[9]</a> <a href ="/abs/2503.02303" title="Abstract" id="2503.02303"> arXiv:2503.02303 </a> [<a href="/pdf/2503.02303" title="Download PDF" id="pdf-2503.02303" aria-labelledby="pdf-2503.02303">pdf</a>, <a href="https://arxiv.org/html/2503.02303v1" title="View HTML" id="html-2503.02303" aria-labelledby="html-2503.02303" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.02303" title="Other formats" id="oth-2503.02303" aria-labelledby="oth-2503.02303">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Flexible Prefrontal Control over Hippocampal Episodic Memory for Goal-Directed Generalization </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zheng,+Y">Yicong Zheng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wolf,+N">Nora Wolf</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ranganath,+C">Charan Ranganath</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=O'Reilly,+R+C">Randall C. O'Reilly</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=McKee,+K+L">Kevin L. McKee</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item10'>[10]</a> <a href ="/abs/2503.02331" title="Abstract" id="2503.02331"> arXiv:2503.02331 </a> [<a href="/pdf/2503.02331" title="Download PDF" id="pdf-2503.02331" aria-labelledby="pdf-2503.02331">pdf</a>, <a href="/format/2503.02331" title="Other formats" id="oth-2503.02331" aria-labelledby="oth-2503.02331">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Goat Optimization Algorithm: A Novel Bio-Inspired Metaheuristic for Global Optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Nozari,+H">Hamed Nozari</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Abdi,+H">Hoessein Abdi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Szmelter-Jarosz,+A">Agnieszka Szmelter-Jarosz</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Numerical Analysis (math.NA); Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item11'>[11]</a> <a href ="/abs/2503.03239" title="Abstract" id="2503.03239"> arXiv:2503.03239 </a> [<a href="/pdf/2503.03239" title="Download PDF" id="pdf-2503.03239" aria-labelledby="pdf-2503.03239">pdf</a>, <a href="/format/2503.03239" title="Other formats" id="oth-2503.03239" aria-labelledby="oth-2503.03239">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ali,+S">Shady Ali</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ashraf,+M">Mahmoud Ashraf</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hegazy,+S">Seif Hegazy</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Salem,+F">Fatty Salem</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mokhtar,+H">Hoda Mokhtar</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gaber,+M+M">Mohamed Medhat Gaber</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Alrefaie,+M+T">Mohamed Taher Alrefaie</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item12'>[12]</a> <a href ="/abs/2503.04224" title="Abstract" id="2503.04224"> arXiv:2503.04224 </a> [<a href="/pdf/2503.04224" title="Download PDF" id="pdf-2503.04224" aria-labelledby="pdf-2503.04224">pdf</a>, <a href="https://arxiv.org/html/2503.04224v1" title="View HTML" id="html-2503.04224" aria-labelledby="html-2503.04224" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.04224" title="Other formats" id="oth-2503.04224" aria-labelledby="oth-2503.04224">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Speeding up Local Search for the Indicator-based Subset Selection Problem by a Candidate List Strategy </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Korogi,+K">Keisuke Korogi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tanabe,+R">Ryoji Tanabe</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This is an accepted version of a paper published in the IEEE Transactions on Evolutionary Computation. The supplementary file is available at <a href="https://raw.githubusercontent.com/rogi52/issp_ls_clist/main/tevc2025_issp_supp.pdf" rel="external noopener nofollow" class="link-external link-https">this https URL</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item13'>[13]</a> <a href ="/abs/2503.04341" title="Abstract" id="2503.04341"> arXiv:2503.04341 </a> [<a href="/pdf/2503.04341" title="Download PDF" id="pdf-2503.04341" aria-labelledby="pdf-2503.04341">pdf</a>, <a href="https://arxiv.org/html/2503.04341v1" title="View HTML" id="html-2503.04341" aria-labelledby="html-2503.04341" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.04341" title="Other formats" id="oth-2503.04341" aria-labelledby="oth-2503.04341">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Eventprop training for efficient neuromorphic applications </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shoesmith,+T">Thomas Shoesmith</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Knight,+J+C">James C. Knight</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=M%C3%A9sz%C3%A1ros,+B">Bal谩zs M茅sz谩ros</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Timcheck,+J">Jonathan Timcheck</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Nowotny,+T">Thomas Nowotny</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 7 pages, 4 figures; Accepted to NICE 2025, 25-28 March 2025, Heidelberg </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Emerging Technologies (cs.ET) </div> </div> </dd> <dt> <a name='item14'>[14]</a> <a href ="/abs/2503.05473" title="Abstract" id="2503.05473"> arXiv:2503.05473 </a> [<a href="/pdf/2503.05473" title="Download PDF" id="pdf-2503.05473" aria-labelledby="pdf-2503.05473">pdf</a>, <a href="https://arxiv.org/html/2503.05473v2" title="View HTML" id="html-2503.05473" aria-labelledby="html-2503.05473" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.05473" title="Other formats" id="oth-2503.05473" aria-labelledby="oth-2503.05473">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> The Society of HiveMind: Multi-Agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective Intelligence </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Mamie,+N">Noah Mamie</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Rao,+S+X">Susie Xi Rao</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages (excl. appendix) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item15'>[15]</a> <a href ="/abs/2503.05601" title="Abstract" id="2503.05601"> arXiv:2503.05601 </a> [<a href="/pdf/2503.05601" title="Download PDF" id="pdf-2503.05601" aria-labelledby="pdf-2503.05601">pdf</a>, <a href="https://arxiv.org/html/2503.05601v1" title="View HTML" id="html-2503.05601" aria-labelledby="html-2503.05601" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.05601" title="Other formats" id="oth-2503.05601" aria-labelledby="oth-2503.05601">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Backpropagation through Soft Body: Investigating Information Processing in Brain-Body Coupling Systems </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Tomioka,+H">Hiroki Tomioka</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Inoue,+K">Katsuma Inoue</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kuniyoshi,+Y">Yasuo Kuniyoshi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Nakajima,+K">Kohei Nakajima</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> The source code and supplementary videos are available at: <a href="https://github.com/hiroki-tomioka/BPTSB" rel="external noopener nofollow" class="link-external link-https">this https URL</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item16'>[16]</a> <a href ="/abs/2503.08394" title="Abstract" id="2503.08394"> arXiv:2503.08394 </a> [<a href="/pdf/2503.08394" title="Download PDF" id="pdf-2503.08394" aria-labelledby="pdf-2503.08394">pdf</a>, <a href="https://arxiv.org/html/2503.08394v1" title="View HTML" id="html-2503.08394" aria-labelledby="html-2503.08394" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.08394" title="Other formats" id="oth-2503.08394" aria-labelledby="oth-2503.08394">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> ($\boldsymbol胃_l, \boldsymbol胃_u$)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Wei,+T">Tingyang Wei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Liu,+J">Jiao Liu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Gupta,+A">Abhishek Gupta</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tan,+P+S">Puay Siew Tan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ong,+Y">Yew-Soon Ong</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Machine Learning (cs.LG) </div> </div> </dd> <dt> <a name='item17'>[17]</a> <a href ="/abs/2503.08608" title="Abstract" id="2503.08608"> arXiv:2503.08608 </a> [<a href="/pdf/2503.08608" title="Download PDF" id="pdf-2503.08608" aria-labelledby="pdf-2503.08608">pdf</a>, <a href="https://arxiv.org/html/2503.08608v1" title="View HTML" id="html-2503.08608" aria-labelledby="html-2503.08608" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.08608" title="Other formats" id="oth-2503.08608" aria-labelledby="oth-2503.08608">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Grid Cell-Inspired Structured Vector Algebra for Cognitive Maps </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Krausse,+S">Sven Krausse</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Neftci,+E">Emre Neftci</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Sommer,+F+T">Friedrich T. Sommer</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Renner,+A">Alpha Renner</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 5 figures, accepted at the 2025 Neuro Inspired Computational Elements (NICE) conference </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Artificial Intelligence (cs.AI); Neurons and Cognition (q-bio.NC) </div> </div> </dd> <dt> <a name='item18'>[18]</a> <a href ="/abs/2503.08703" title="Abstract" id="2503.08703"> arXiv:2503.08703 </a> [<a href="/pdf/2503.08703" title="Download PDF" id="pdf-2503.08703" aria-labelledby="pdf-2503.08703">pdf</a>, <a href="https://arxiv.org/html/2503.08703v1" title="View HTML" id="html-2503.08703" aria-labelledby="html-2503.08703" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.08703" title="Other formats" id="oth-2503.08703" aria-labelledby="oth-2503.08703">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> SDTrack: A Baseline for Event-based Tracking via Spiking Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Shan,+Y">Yimeng Shan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ren,+Z">Zhenbang Ren</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wu,+H">Haodi Wu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wei,+W">Wenjie Wei</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+R">Rui-Jie Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+S">Shuai Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+D">Dehao Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Xiao,+Y">Yichen Xiao</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+J">Jieyuan Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shi,+K">Kexin Shi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Wang,+J">Jingzhinan Wang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Eshraghian,+J+K">Jason K. Eshraghian</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Qu,+H">Haicheng Qu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+J">Jiqing Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhang,+M">Malu Zhang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yang,+Y">Yang Yang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 11 pages,7 figures,4 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item19'>[19]</a> <a href ="/abs/2503.09340" title="Abstract" id="2503.09340"> arXiv:2503.09340 </a> [<a href="/pdf/2503.09340" title="Download PDF" id="pdf-2503.09340" aria-labelledby="pdf-2503.09340">pdf</a>, <a href="/format/2503.09340" title="Other formats" id="oth-2503.09340" aria-labelledby="oth-2503.09340">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kulkarni,+A+J">Anand J Kulkarni</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Purnapatre,+I">Isha Purnapatre</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shastri,+A+S">Apoorva S Shastri</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 35 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item20'>[20]</a> <a href ="/abs/2503.10387" title="Abstract" id="2503.10387"> arXiv:2503.10387 </a> [<a href="/pdf/2503.10387" title="Download PDF" id="pdf-2503.10387" aria-labelledby="pdf-2503.10387">pdf</a>, <a href="https://arxiv.org/html/2503.10387v1" title="View HTML" id="html-2503.10387" aria-labelledby="html-2503.10387" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10387" title="Other formats" id="oth-2503.10387" aria-labelledby="oth-2503.10387">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Adding numbers with spiking neural circuits on neuromorphic hardware </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=von+Seeler,+O">Oskar von Seeler</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Offenberg,+E+C">Elena C. Offenberg</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Michaelis,+C">Carlo Michaelis</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Luboeinski,+J">Jannik Luboeinski</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lehr,+A+B">Andrew B. Lehr</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tetzlaff,+C">Christian Tetzlaff</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item21'>[21]</a> <a href ="/abs/2503.10869" title="Abstract" id="2503.10869"> arXiv:2503.10869 </a> [<a href="/pdf/2503.10869" title="Download PDF" id="pdf-2503.10869" aria-labelledby="pdf-2503.10869">pdf</a>, <a href="https://arxiv.org/html/2503.10869v1" title="View HTML" id="html-2503.10869" aria-labelledby="html-2503.10869" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10869" title="Other formats" id="oth-2503.10869" aria-labelledby="oth-2503.10869">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Evaluating a Novel Neuroevolution and Neural Architecture Search System </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Winter,+B+D">Benjamin David Winter</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Teahan,+W+J">William John Teahan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 10 pages, 5 figures, IEEE </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item22'>[22]</a> <a href ="/abs/2503.10879" title="Abstract" id="2503.10879"> arXiv:2503.10879 </a> [<a href="/pdf/2503.10879" title="Download PDF" id="pdf-2503.10879" aria-labelledby="pdf-2503.10879">pdf</a>, <a href="https://arxiv.org/html/2503.10879v1" title="View HTML" id="html-2503.10879" aria-labelledby="html-2503.10879" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10879" title="Other formats" id="oth-2503.10879" aria-labelledby="oth-2503.10879">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Task-Specific Activation Functions for Neuroevolution using Grammatical Evolution </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Winter,+B+D">Benjamin David Winter</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Teahan,+W+J">William John Teahan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 8 pages, 4 figures, IEEE </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item23'>[23]</a> <a href ="/abs/2503.10908" title="Abstract" id="2503.10908"> arXiv:2503.10908 </a> [<a href="/pdf/2503.10908" title="Download PDF" id="pdf-2503.10908" aria-labelledby="pdf-2503.10908">pdf</a>, <a href="https://arxiv.org/html/2503.10908v1" title="View HTML" id="html-2503.10908" aria-labelledby="html-2503.10908" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.10908" title="Other formats" id="oth-2503.10908" aria-labelledby="oth-2503.10908">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Ecological Neural Architecture Search </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Winter,+B+D">Benjamin David Winter</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Teahan,+W+J">William J. Teahan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 5 pages, 4 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Artificial Intelligence (cs.AI) </div> </div> </dd> <dt> <a name='item24'>[24]</a> <a href ="/abs/2503.11002" title="Abstract" id="2503.11002"> arXiv:2503.11002 </a> [<a href="/pdf/2503.11002" title="Download PDF" id="pdf-2503.11002" aria-labelledby="pdf-2503.11002">pdf</a>, <a href="https://arxiv.org/html/2503.11002v1" title="View HTML" id="html-2503.11002" aria-labelledby="html-2503.11002" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11002" title="Other formats" id="oth-2503.11002" aria-labelledby="oth-2503.11002">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Configuration Design of Mechanical Assemblies using an Estimation of Distribution Algorithm and Constraint Programming </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Cheong,+H">Hyunmin Cheong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ebrahimi,+M">Mehran Ebrahimi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Butscher,+A">Adrian Butscher</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Iorio,+F">Francesco Iorio</a></div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> 2019 IEEE Congress on Evolutionary Computation (CEC) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Applied Physics (physics.app-ph); Applications (stat.AP) </div> </div> </dd> <dt> <a name='item25'>[25]</a> <a href ="/abs/2503.11524" title="Abstract" id="2503.11524"> arXiv:2503.11524 </a> [<a href="/pdf/2503.11524" title="Download PDF" id="pdf-2503.11524" aria-labelledby="pdf-2503.11524">pdf</a>, <a href="https://arxiv.org/html/2503.11524v1" title="View HTML" id="html-2503.11524" aria-labelledby="html-2503.11524" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11524" title="Other formats" id="oth-2503.11524" aria-labelledby="oth-2503.11524">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Underdamped Particle Swarm Optimization </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Rodr%C3%ADguez,+M+E+H">Mat铆as Ezequiel Hern谩ndez Rodr铆guez</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 18 pages, 5 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item26'>[26]</a> <a href ="/abs/2503.11688" title="Abstract" id="2503.11688"> arXiv:2503.11688 </a> [<a href="/pdf/2503.11688" title="Download PDF" id="pdf-2503.11688" aria-labelledby="pdf-2503.11688">pdf</a>, <a href="https://arxiv.org/html/2503.11688v1" title="View HTML" id="html-2503.11688" aria-labelledby="html-2503.11688" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.11688" title="Other formats" id="oth-2503.11688" aria-labelledby="oth-2503.11688">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards Resilient and Sustainable Global Industrial Systems: An Evolutionary-Based Approach </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Jirkovsk%C3%BD,+V">V谩clav Jirkovsk媒</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kubal%C3%ADk,+J">Ji艡铆 Kubal铆k</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kadera,+P">Petr Kadera</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Schirrmann,+A">Arnd Schirrmann</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mitschke,+A">Andreas Mitschke</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zindel,+A">Andreas Zindel</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Machine Learning (cs.LG); Optimization and Control (math.OC) </div> </div> </dd> <dt> <a name='item27'>[27]</a> <a href ="/abs/2503.12743" title="Abstract" id="2503.12743"> arXiv:2503.12743 </a> [<a href="/pdf/2503.12743" title="Download PDF" id="pdf-2503.12743" aria-labelledby="pdf-2503.12743">pdf</a>, <a href="/format/2503.12743" title="Other formats" id="oth-2503.12743" aria-labelledby="oth-2503.12743">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Cancermorphic Computing Toward Multilevel Machine Intelligence </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Moreddu,+R">Rosalia Moreddu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Levin,+M">Michael Levin</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 20 pages, 4 tables </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span> </div> </div> </dd> <dt> <a name='item28'>[28]</a> <a href ="/abs/2503.14298" title="Abstract" id="2503.14298"> arXiv:2503.14298 </a> [<a href="/pdf/2503.14298" title="Download PDF" id="pdf-2503.14298" aria-labelledby="pdf-2503.14298">pdf</a>, <a href="https://arxiv.org/html/2503.14298v1" title="View HTML" id="html-2503.14298" aria-labelledby="html-2503.14298" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.14298" title="Other formats" id="oth-2503.14298" aria-labelledby="oth-2503.14298">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Moharil,+A">Ambarish Moharil</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kumara,+I">Indika Kumara</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tamburri,+D+A">Damian Andrew Tamburri</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mohammadi,+M">Majid Mohammadi</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=van+den+Heuvel,+W">Willem-Jan van den Heuvel</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted at the ICLR Workshop on Neural Network Weights as a New Data Modality 2025 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Algebraic Geometry (math.AG); Group Theory (math.GR) </div> </div> </dd> <dt> <a name='item29'>[29]</a> <a href ="/abs/2503.15402" title="Abstract" id="2503.15402"> arXiv:2503.15402 </a> [<a href="/pdf/2503.15402" title="Download PDF" id="pdf-2503.15402" aria-labelledby="pdf-2503.15402">pdf</a>, <a href="https://arxiv.org/html/2503.15402v1" title="View HTML" id="html-2503.15402" aria-labelledby="html-2503.15402" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.15402" title="Other formats" id="oth-2503.15402" aria-labelledby="oth-2503.15402">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards efficient keyword spotting using spike-based time difference encoders </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Peque%C3%B1o-Zurro,+A">Alejandro Peque帽o-Zurro</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Khacef,+L">Lyes Khacef</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Panzeri,+S">Stefano Panzeri</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Chicca,+E">Elisabetta Chicca</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 26 pages, 9 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Emerging Technologies (cs.ET) </div> </div> </dd> <dt> <a name='item30'>[30]</a> <a href ="/abs/2503.15986" title="Abstract" id="2503.15986"> arXiv:2503.15986 </a> [<a href="/pdf/2503.15986" title="Download PDF" id="pdf-2503.15986" aria-labelledby="pdf-2503.15986">pdf</a>, <a href="https://arxiv.org/html/2503.15986v1" title="View HTML" id="html-2503.15986" aria-labelledby="html-2503.15986" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.15986" title="Other formats" id="oth-2503.15986" aria-labelledby="oth-2503.15986">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Zheng,+Z">Zeqi Zheng</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Huang,+Y">Yanchen Huang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yu,+Y">Yingchao Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Zhu,+Z">Zizheng Zhu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Tang,+J">Junfeng Tang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yu,+Z">Zhaofei Yu</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jin,+Y">Yaochu Jin</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 16 pages, 7 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neural and Evolutionary Computing (cs.NE)</span>; Computer Vision and Pattern Recognition (cs.CV) </div> </div> </dd> <dt> <a name='item31'>[31]</a> <a href ="/abs/2503.00268" title="Abstract" id="2503.00268"> arXiv:2503.00268 </a> (cross-list from cs.LG) [<a href="/pdf/2503.00268" title="Download PDF" id="pdf-2503.00268" aria-labelledby="pdf-2503.00268">pdf</a>, <a href="https://arxiv.org/html/2503.00268v1" title="View HTML" id="html-2503.00268" aria-labelledby="html-2503.00268" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.00268" title="Other formats" id="oth-2503.00268" aria-labelledby="oth-2503.00268">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Input Specific Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Jadoon,+A+A">Asghar A. Jadoon</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Seidl,+D+T">D. Thomas Seidl</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jones,+R+E">Reese E. Jones</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Fuhg,+J+N">Jan N. Fuhg</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item32'>[32]</a> <a href ="/abs/2503.00349" title="Abstract" id="2503.00349"> arXiv:2503.00349 </a> (cross-list from math.OC) [<a href="/pdf/2503.00349" title="Download PDF" id="pdf-2503.00349" aria-labelledby="pdf-2503.00349">pdf</a>, <a href="/format/2503.00349" title="Other formats" id="oth-2503.00349" aria-labelledby="oth-2503.00349">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Convergence of energy-based learning in linear resistive networks </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Huijzer,+A">Anne-Men Huijzer</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Chaffey,+T">Thomas Chaffey</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Besselink,+B">Bart Besselink</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=van+Waarde,+H+J">Henk J. van Waarde</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optimization and Control (math.OC)</span>; Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Systems and Control (eess.SY) </div> </div> </dd> <dt> <a name='item33'>[33]</a> <a href ="/abs/2503.00588" title="Abstract" id="2503.00588"> arXiv:2503.00588 </a> (cross-list from math.OC) [<a href="/pdf/2503.00588" title="Download PDF" id="pdf-2503.00588" aria-labelledby="pdf-2503.00588">pdf</a>, <a href="/format/2503.00588" title="Other formats" id="oth-2503.00588" aria-labelledby="oth-2503.00588">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> An Improved NSGA-II with local search for multi-objective energy-efficient flowshop scheduling problem </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Pesaru,+V">Vigneshwar Pesaru</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Saddikuti,+V">Venkataramanaiah Saddikuti</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 34 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optimization and Control (math.OC)</span>; Mathematical Software (cs.MS); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item34'>[34]</a> <a href ="/abs/2503.01163" title="Abstract" id="2503.01163"> arXiv:2503.01163 </a> (cross-list from cs.AI) [<a href="/pdf/2503.01163" title="Download PDF" id="pdf-2503.01163" aria-labelledby="pdf-2503.01163">pdf</a>, <a href="https://arxiv.org/html/2503.01163v1" title="View HTML" id="html-2503.01163" aria-labelledby="html-2503.01163" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01163" title="Other formats" id="oth-2503.01163" aria-labelledby="oth-2503.01163">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Ashizawa,+R">Rin Ashizawa</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hirose,+Y">Yoichi Hirose</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Yoshinari,+N">Nozomu Yoshinari</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Uchida,+K">Kento Uchida</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Shirakawa,+S">Shinichi Shirakawa</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Computation and Language (cs.CL); Human-Computer Interaction (cs.HC); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item35'>[35]</a> <a href ="/abs/2503.01325" title="Abstract" id="2503.01325"> arXiv:2503.01325 </a> (cross-list from math.OC) [<a href="/pdf/2503.01325" title="Download PDF" id="pdf-2503.01325" aria-labelledby="pdf-2503.01325">pdf</a>, <a href="/format/2503.01325" title="Other formats" id="oth-2503.01325" aria-labelledby="oth-2503.01325">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Towards net-zero manufacturing: carbon-aware scheduling for GHG emissions reduction </div> <div class='list-authors'><a href="https://arxiv.org/search/math?searchtype=author&query=Mencaroni,+A">Andrea Mencaroni</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Leyman,+P">Pieter Leyman</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Raa,+B">Birger Raa</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=De+Vuyst,+S">Stijn De Vuyst</a>, <a href="https://arxiv.org/search/math?searchtype=author&query=Claeys,+D">Dieter Claeys</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optimization and Control (math.OC)</span>; Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item36'>[36]</a> <a href ="/abs/2503.01389" title="Abstract" id="2503.01389"> arXiv:2503.01389 </a> (cross-list from cs.AI) [<a href="/pdf/2503.01389" title="Download PDF" id="pdf-2503.01389" aria-labelledby="pdf-2503.01389">pdf</a>, <a href="https://arxiv.org/html/2503.01389v1" title="View HTML" id="html-2503.01389" aria-labelledby="html-2503.01389" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01389" title="Other formats" id="oth-2503.01389" aria-labelledby="oth-2503.01389">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Learning Conjecturing from Scratch </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Gauthier,+T">Thibault Gauthier</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Urban,+J">Josef Urban</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Machine Learning (cs.LG); Logic in Computer Science (cs.LO); Neural and Evolutionary Computing (cs.NE); Symbolic Computation (cs.SC) </div> </div> </dd> <dt> <a name='item37'>[37]</a> <a href ="/abs/2503.01561" title="Abstract" id="2503.01561"> arXiv:2503.01561 </a> (cross-list from cs.AR) [<a href="/pdf/2503.01561" title="Download PDF" id="pdf-2503.01561" aria-labelledby="pdf-2503.01561">pdf</a>, <a href="https://arxiv.org/html/2503.01561v1" title="View HTML" id="html-2503.01561" aria-labelledby="html-2503.01561" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01561" title="Other formats" id="oth-2503.01561" aria-labelledby="oth-2503.01561">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Hafiz,+M+I+A">Muhammad Ihsan Al Hafiz</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ravichandran,+N">Naresh Ravichandran</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Lansner,+A">Anders Lansner</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Herman,+P">Pawel Herman</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Podobas,+A">Artur Podobas</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Hardware Architecture (cs.AR)</span>; Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item38'>[38]</a> <a href ="/abs/2503.01676" title="Abstract" id="2503.01676"> arXiv:2503.01676 </a> (cross-list from cs.RO) [<a href="/pdf/2503.01676" title="Download PDF" id="pdf-2503.01676" aria-labelledby="pdf-2503.01676">pdf</a>, <a href="https://arxiv.org/html/2503.01676v2" title="View HTML" id="html-2503.01676" aria-labelledby="html-2503.01676" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01676" title="Other formats" id="oth-2503.01676" aria-labelledby="oth-2503.01676">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Perceptual Motor Learning with Active Inference Framework for Robust Lateral Control </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Delavari,+E">Elahe Delavari</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Moore,+J">John Moore</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Hong,+J">Junho Hong</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Kwon,+J">Jaerock Kwon</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> This work has been submitted to IROS 2025 and is currently under review. Supersedes <a href="https://arxiv.org/abs/2407.07684" data-arxiv-id="2407.07684" class="link-https">arXiv:2407.07684</a> </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Robotics (cs.RO)</span>; Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item39'>[39]</a> <a href ="/abs/2503.01857" title="Abstract" id="2503.01857"> arXiv:2503.01857 </a> (cross-list from eess.SY) [<a href="/pdf/2503.01857" title="Download PDF" id="pdf-2503.01857" aria-labelledby="pdf-2503.01857">pdf</a>, <a href="https://arxiv.org/html/2503.01857v1" title="View HTML" id="html-2503.01857" aria-labelledby="html-2503.01857" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01857" title="Other formats" id="oth-2503.01857" aria-labelledby="oth-2503.01857">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A strictly predefined-time convergent and anti-noise fractional-order zeroing neural network for solving time-variant quadratic programming in kinematic robot control </div> <div class='list-authors'><a href="https://arxiv.org/search/eess?searchtype=author&query=Yang,+Y">Yi Yang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+X">Xiao Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Wang,+X">Xuchen Wang</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Liu,+M">Mei Liu</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Yin,+J">Junwei Yin</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Li,+W">Weibing Li</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Voyles,+R+M">Richard M. Voyles</a>, <a href="https://arxiv.org/search/eess?searchtype=author&query=Ma,+X">Xin Ma</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 13 pages, 10 figures; as accepted for publication </div> <div class='list-journal-ref'><span class='descriptor'>Journal-ref:</span> Neural Networks (2025) 107279 </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Systems and Control (eess.SY)</span>; Neural and Evolutionary Computing (cs.NE); Robotics (cs.RO) </div> </div> </dd> <dt> <a name='item40'>[40]</a> <a href ="/abs/2503.01867" title="Abstract" id="2503.01867"> arXiv:2503.01867 </a> (cross-list from cs.AI) [<a href="/pdf/2503.01867" title="Download PDF" id="pdf-2503.01867" aria-labelledby="pdf-2503.01867">pdf</a>, <a href="https://arxiv.org/html/2503.01867v1" title="View HTML" id="html-2503.01867" aria-labelledby="html-2503.01867" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.01867" title="Other formats" id="oth-2503.01867" aria-labelledby="oth-2503.01867">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Neural Manifolds and Cognitive Consistency: A New Approach to Memory Consolidation in Artificial Systems </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Nguyen,+P">Phuong-Nam Nguyen</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Neural and Evolutionary Computing (cs.NE); Neurons and Cognition (q-bio.NC) </div> </div> </dd> <dt> <a name='item41'>[41]</a> <a href ="/abs/2503.01937" title="Abstract" id="2503.01937"> arXiv:2503.01937 </a> (cross-list from cs.LG) [<a href="/pdf/2503.01937" title="Download PDF" id="pdf-2503.01937" aria-labelledby="pdf-2503.01937">pdf</a>, <a href="/format/2503.01937" title="Other formats" id="oth-2503.01937" aria-labelledby="oth-2503.01937">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Synthetic Tabular Data Detection In the Wild </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kindji,+G+C+N">G. Charbel N. Kindji</a> (IRISA, LACODAM), <a href="https://arxiv.org/search/cs?searchtype=author&query=Fromont,+E">Elisa Fromont</a> (IRISA, LACODAM), <a href="https://arxiv.org/search/cs?searchtype=author&query=Rojas-Barahona,+L+M">Lina Maria Rojas-Barahona</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Urvoy,+T">Tanguy Urvoy</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> International Symposium on Intelligent Data Analysis, May 2025, Konstanz, Germany </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Databases (cs.DB); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML) </div> </div> </dd> <dt> <a name='item42'>[42]</a> <a href ="/abs/2503.02642" title="Abstract" id="2503.02642"> arXiv:2503.02642 </a> (cross-list from q-bio.NC) [<a href="/pdf/2503.02642" title="Download PDF" id="pdf-2503.02642" aria-labelledby="pdf-2503.02642">pdf</a>, <a href="/format/2503.02642" title="Other formats" id="oth-2503.02642" aria-labelledby="oth-2503.02642">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Weight transport through spike timing for robust local gradients </div> <div class='list-authors'><a href="https://arxiv.org/search/q-bio?searchtype=author&query=Gierlich,+T">Timo Gierlich</a>, <a href="https://arxiv.org/search/q-bio?searchtype=author&query=Baumbach,+A">Andreas Baumbach</a>, <a href="https://arxiv.org/search/q-bio?searchtype=author&query=Kungl,+A+F">Akos F. Kungl</a>, <a href="https://arxiv.org/search/q-bio?searchtype=author&query=Max,+K">Kevin Max</a>, <a href="https://arxiv.org/search/q-bio?searchtype=author&query=Petrovici,+M+A">Mihai A. Petrovici</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 19 pages, 9 figures </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neurons and Cognition (q-bio.NC)</span>; Emerging Technologies (cs.ET); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item43'>[43]</a> <a href ="/abs/2503.03018" title="Abstract" id="2503.03018"> arXiv:2503.03018 </a> (cross-list from cs.LG) [<a href="/pdf/2503.03018" title="Download PDF" id="pdf-2503.03018" aria-labelledby="pdf-2503.03018">pdf</a>, <a href="https://arxiv.org/html/2503.03018v1" title="View HTML" id="html-2503.03018" aria-labelledby="html-2503.03018" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.03018" title="Other formats" id="oth-2503.03018" aria-labelledby="oth-2503.03018">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=McAlister,+H">Hayden McAlister</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Robins,+A">Anthony Robins</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Szymanski,+L">Lech Szymanski</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item44'>[44]</a> <a href ="/abs/2503.03084" title="Abstract" id="2503.03084"> arXiv:2503.03084 </a> (cross-list from cs.LG) [<a href="/pdf/2503.03084" title="Download PDF" id="pdf-2503.03084" aria-labelledby="pdf-2503.03084">pdf</a>, <a href="https://arxiv.org/html/2503.03084v1" title="View HTML" id="html-2503.03084" aria-labelledby="html-2503.03084" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.03084" title="Other formats" id="oth-2503.03084" aria-labelledby="oth-2503.03084">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Hopfield Networks Meet Big Data: A Brain-Inspired Deep Learning Framework for Semantic Data Linking </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Kannan,+A+V">Ashwin Viswanathan Kannan</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Thomas,+J+P">Johnson P Thomas</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Mukerji,+A">Abhimanyu Mukerji</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 7 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item45'>[45]</a> <a href ="/abs/2503.03112" title="Abstract" id="2503.03112"> arXiv:2503.03112 </a> (cross-list from cs.SI) [<a href="/pdf/2503.03112" title="Download PDF" id="pdf-2503.03112" aria-labelledby="pdf-2503.03112">pdf</a>, <a href="https://arxiv.org/html/2503.03112v1" title="View HTML" id="html-2503.03112" aria-labelledby="html-2503.03112" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.03112" title="Other formats" id="oth-2503.03112" aria-labelledby="oth-2503.03112">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A Multimodal Framework for Topic Propagation Classification in Social Networks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Jiang,+Y">Yuchuan Jiang</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Jia,+C">Chaolong Jia</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Qin,+Y">Yunyi Qin</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Cai,+W">Wei Cai</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Qian,+Y">Yongsen Qian</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Social and Information Networks (cs.SI)</span>; Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item46'>[46]</a> <a href ="/abs/2503.03263" title="Abstract" id="2503.03263"> arXiv:2503.03263 </a> (cross-list from physics.optics) [<a href="/pdf/2503.03263" title="Download PDF" id="pdf-2503.03263" aria-labelledby="pdf-2503.03263">pdf</a>, <a href="/format/2503.03263" title="Other formats" id="oth-2503.03263" aria-labelledby="oth-2503.03263">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> A 262 TOPS Hyperdimensional Photonic AI Accelerator powered by a Si3N4 microcomb laser </div> <div class='list-authors'><a href="https://arxiv.org/search/physics?searchtype=author&query=Pappas,+C">Christos Pappas</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Prapas,+A">Antonios Prapas</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Moschos,+T">Theodoros Moschos</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Kirtas,+M">Manos Kirtas</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Asimopoulos,+O">Odysseas Asimopoulos</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Tsakyridis,+A">Apostolos Tsakyridis</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Moralis-Pegios,+M">Miltiadis Moralis-Pegios</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Vagionas,+C">Chris Vagionas</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Passalis,+N">Nikolaos Passalis</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Ozdilek,+C">Cagri Ozdilek</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Shpakovsky,+T">Timofey Shpakovsky</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Takabayashi,+A+Y">Alain Yuji Takabayashi</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Jost,+J+D">John D. Jost</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Karpov,+M">Maxim Karpov</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Tefas,+A">Anastasios Tefas</a>, <a href="https://arxiv.org/search/physics?searchtype=author&query=Pleros,+N">Nikos Pleros</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Optics (physics.optics)</span>; Emerging Technologies (cs.ET); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item47'>[47]</a> <a href ="/abs/2503.03361" title="Abstract" id="2503.03361"> arXiv:2503.03361 </a> (cross-list from cs.AI) [<a href="/pdf/2503.03361" title="Download PDF" id="pdf-2503.03361" aria-labelledby="pdf-2503.03361">pdf</a>, <a href="https://arxiv.org/html/2503.03361v1" title="View HTML" id="html-2503.03361" aria-labelledby="html-2503.03361" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.03361" title="Other formats" id="oth-2503.03361" aria-labelledby="oth-2503.03361">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> From Infants to AI: Incorporating Infant-like Learning in Models Boosts Efficiency and Generalization in Learning Social Prediction Tasks </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Treger,+S">Shify Treger</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Ullman,+S">Shimon Ullman</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Artificial Intelligence (cs.AI)</span>; Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item48'>[48]</a> <a href ="/abs/2503.03784" title="Abstract" id="2503.03784"> arXiv:2503.03784 </a> (cross-list from q-bio.NC) [<a href="/pdf/2503.03784" title="Download PDF" id="pdf-2503.03784" aria-labelledby="pdf-2503.03784">pdf</a>, <a href="https://arxiv.org/html/2503.03784v1" title="View HTML" id="html-2503.03784" aria-labelledby="html-2503.03784" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.03784" title="Other formats" id="oth-2503.03784" aria-labelledby="oth-2503.03784">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control </div> <div class='list-authors'><a href="https://arxiv.org/search/q-bio?searchtype=author&query=Kannan,+A+V">Ashwin Viswanathan Kannan</a>, <a href="https://arxiv.org/search/q-bio?searchtype=author&query=Ganesan,+M">Madhumitha Ganesan</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> 6 pages </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Neurons and Cognition (q-bio.NC)</span>; Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item49'>[49]</a> <a href ="/abs/2503.04074" title="Abstract" id="2503.04074"> arXiv:2503.04074 </a> (cross-list from cs.LG) [<a href="/pdf/2503.04074" title="Download PDF" id="pdf-2503.04074" aria-labelledby="pdf-2503.04074">pdf</a>, <a href="https://arxiv.org/html/2503.04074v1" title="View HTML" id="html-2503.04074" aria-labelledby="html-2503.04074" rel="noopener noreferrer" target="_blank">html</a>, <a href="/format/2503.04074" title="Other formats" id="oth-2503.04074" aria-labelledby="oth-2503.04074">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Can We Optimize Deep RL Policy Weights as Trajectory Modeling? </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Tang,+H">Hongyao Tang</a></div> <div class='list-comments mathjax'><span class='descriptor'>Comments:</span> Accepted as an extended abstract to ICLR 2025 Workshop on Weight Space Learning (WSL) </div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Machine Learning (cs.LG)</span>; Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE) </div> </div> </dd> <dt> <a name='item50'>[50]</a> <a href ="/abs/2503.04848" title="Abstract" id="2503.04848"> arXiv:2503.04848 </a> (cross-list from cs.CL) [<a href="/pdf/2503.04848" title="Download PDF" id="pdf-2503.04848" aria-labelledby="pdf-2503.04848">pdf</a>, <a href="/format/2503.04848" title="Other formats" id="oth-2503.04848" aria-labelledby="oth-2503.04848">other</a>] </dt> <dd> <div class='meta'> <div class='list-title mathjax'><span class='descriptor'>Title:</span> Three tiers of computation in transformers and in brain architectures </div> <div class='list-authors'><a href="https://arxiv.org/search/cs?searchtype=author&query=Graham,+E">E Graham</a>, <a href="https://arxiv.org/search/cs?searchtype=author&query=Granger,+R">R Granger</a></div> <div class='list-subjects'><span class='descriptor'>Subjects:</span> <span class="primary-subject">Computation and Language (cs.CL)</span>; Neural and Evolutionary Computing (cs.NE); Neurons and Cognition (q-bio.NC) </div> </div> </dd> </dl> <div class='paging'>Total of 77 entries : <span>1-50</span> <a href=/list/cs.NE/2025-03?skip=50&show=50>51-77</a> </div> <div class='morefewer'>Showing up to 50 entries per page: <a href=/list/cs.NE/2025-03?skip=0&show=25 rel="nofollow"> fewer</a> | <span style="color: #454545">more</span> | <a href=/list/cs.NE/2025-03?skip=0&show=2000 rel="nofollow"> all</a> </div> </div> </div> </div> </main> <footer style="clear: both;"> <div class="columns is-desktop" role="navigation" aria-label="Secondary" style="margin: -0.75em -0.75em 0.75em -0.75em"> <!-- Macro-Column 1 --> <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; line-height: 2;"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul style="list-style: none; line-height: 2;"> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>contact arXiv</title><desc>Click here to contact arXiv</desc><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 0-48-21.5-48-48V195.6c0-5 5.7-7.8 9.7-4.7 22.4 17.4 52.1 39.5 154.1 113.6 21.1 15.4 56.7 47.8 92.2 47.6 35.7.3 72-32.8 92.3-47.6 102-74.1 131.6-96.3 154-113.7zM256 320c23.2.4 56.6-29.2 73.4-41.4 132.7-96.3 142.8-104.7 173.4-128.7 5.8-4.5 9.2-11.5 9.2-18.9v-19c0-26.5-21.5-48-48-48H48C21.5 64 0 85.5 0 112v19c0 7.4 3.4 14.3 9.2 18.9 30.6 23.9 40.7 32.4 173.4 128.7 16.8 12.2 50.2 41.8 73.4 41.4z"/></svg> <a href="https://info.arxiv.org/help/contact.html"> Contact</a> </li> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>subscribe to arXiv mailings</title><desc>Click here to subscribe</desc><path d="M476 3.2L12.5 270.6c-18.1 10.4-15.8 35.6 2.2 43.2L121 358.4l287.3-253.2c5.5-4.9 13.3 2.6 8.6 8.3L176 407v80.5c0 23.6 28.5 32.9 42.5 15.8L282 426l124.6 52.2c14.2 6 30.4-2.9 33-18.2l72-432C515 7.8 493.3-6.8 476 3.2z"/></svg> <a href="https://info.arxiv.org/help/subscribe"> Subscribe</a> </li> </ul> </div> </div> </div> <!-- End Macro-Column 1 --> <!-- Macro-Column 2 --> <div class="column" style="padding: 0;"> <div class="columns"> <div class="column"> <ul style="list-style: none; 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