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<button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2206.04394">arXiv:2206.04394</a> <span> [<a href="https://arxiv.org/pdf/2206.04394">pdf</a>, <a href="https://arxiv.org/format/2206.04394">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> </div> </div> <p class="title is-5 mathjax"> Xplique: A Deep Learning Explainability Toolbox </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Fel%2C+T">Thomas Fel</a>, <a href="/search/cs?searchtype=author&query=Hervier%2C+L">Lucas Hervier</a>, <a href="/search/cs?searchtype=author&query=Vigouroux%2C+D">David Vigouroux</a>, <a href="/search/cs?searchtype=author&query=Poche%2C+A">Antonin Poche</a>, <a href="/search/cs?searchtype=author&query=Plakoo%2C+J">Justin Plakoo</a>, <a href="/search/cs?searchtype=author&query=Cadene%2C+R">Remi Cadene</a>, <a href="/search/cs?searchtype=author&query=Chalvidal%2C+M">Mathieu Chalvidal</a>, <a href="/search/cs?searchtype=author&query=Colin%2C+J">Julien Colin</a>, <a href="/search/cs?searchtype=author&query=Boissin%2C+T">Thibaut Boissin</a>, <a href="/search/cs?searchtype=author&query=Bethune%2C+L">Louis Bethune</a>, <a href="/search/cs?searchtype=author&query=Picard%2C+A">Agustin Picard</a>, <a href="/search/cs?searchtype=author&query=Nicodeme%2C+C">Claire Nicodeme</a>, <a href="/search/cs?searchtype=author&query=Gardes%2C+L">Laurent Gardes</a>, <a href="/search/cs?searchtype=author&query=Flandin%2C+G">Gregory Flandin</a>, <a href="/search/cs?searchtype=author&query=Serre%2C+T">Thomas Serre</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2206.04394v1-abstract-short" style="display: inline;"> Today's most advanced machine-learning models are hardly scrutable. The key challenge for explainability methods is to help assisting researchers in opening up these black boxes, by revealing the strategy that led to a given decision, by characterizing their internal states or by studying the underlying data representation. To address this challenge, we have developed Xplique: a software library f… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2206.04394v1-abstract-full').style.display = 'inline'; document.getElementById('2206.04394v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2206.04394v1-abstract-full" style="display: none;"> Today's most advanced machine-learning models are hardly scrutable. The key challenge for explainability methods is to help assisting researchers in opening up these black boxes, by revealing the strategy that led to a given decision, by characterizing their internal states or by studying the underlying data representation. To address this challenge, we have developed Xplique: a software library for explainability which includes representative explainability methods as well as associated evaluation metrics. It interfaces with one of the most popular learning libraries: Tensorflow as well as other libraries including PyTorch, scikit-learn and Theano. The code is licensed under the MIT license and is freely available at github.com/deel-ai/xplique. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2206.04394v1-abstract-full').style.display = 'none'; document.getElementById('2206.04394v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 9 June, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2022. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2103.10529">arXiv:2103.10529</a> <span> [<a href="https://arxiv.org/pdf/2103.10529">pdf</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Artificial Intelligence">cs.AI</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> White Paper Machine Learning in Certified Systems </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Delseny%2C+H">Herv茅 Delseny</a>, <a href="/search/cs?searchtype=author&query=Gabreau%2C+C">Christophe Gabreau</a>, <a href="/search/cs?searchtype=author&query=Gauffriau%2C+A">Adrien Gauffriau</a>, <a href="/search/cs?searchtype=author&query=Beaudouin%2C+B">Bernard Beaudouin</a>, <a href="/search/cs?searchtype=author&query=Ponsolle%2C+L">Ludovic Ponsolle</a>, <a href="/search/cs?searchtype=author&query=Alecu%2C+L">Lucian Alecu</a>, <a href="/search/cs?searchtype=author&query=Bonnin%2C+H">Hugues Bonnin</a>, <a href="/search/cs?searchtype=author&query=Beltran%2C+B">Brice Beltran</a>, <a href="/search/cs?searchtype=author&query=Duchel%2C+D">Didier Duchel</a>, <a href="/search/cs?searchtype=author&query=Ginestet%2C+J">Jean-Brice Ginestet</a>, <a href="/search/cs?searchtype=author&query=Hervieu%2C+A">Alexandre Hervieu</a>, <a href="/search/cs?searchtype=author&query=Martinez%2C+G">Ghilaine Martinez</a>, <a href="/search/cs?searchtype=author&query=Pasquet%2C+S">Sylvain Pasquet</a>, <a href="/search/cs?searchtype=author&query=Delmas%2C+K">Kevin Delmas</a>, <a href="/search/cs?searchtype=author&query=Pagetti%2C+C">Claire Pagetti</a>, <a href="/search/cs?searchtype=author&query=Gabriel%2C+J">Jean-Marc Gabriel</a>, <a href="/search/cs?searchtype=author&query=Chapdelaine%2C+C">Camille Chapdelaine</a>, <a href="/search/cs?searchtype=author&query=Picard%2C+S">Sylvaine Picard</a>, <a href="/search/cs?searchtype=author&query=Damour%2C+M">Mathieu Damour</a>, <a href="/search/cs?searchtype=author&query=Cappi%2C+C">Cyril Cappi</a>, <a href="/search/cs?searchtype=author&query=Gard%C3%A8s%2C+L">Laurent Gard猫s</a>, <a href="/search/cs?searchtype=author&query=De+Grancey%2C+F">Florence De Grancey</a>, <a href="/search/cs?searchtype=author&query=Jenn%2C+E">Eric Jenn</a>, <a href="/search/cs?searchtype=author&query=Lefevre%2C+B">Baptiste Lefevre</a>, <a href="/search/cs?searchtype=author&query=Flandin%2C+G">Gregory Flandin</a> , et al. (3 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2103.10529v1-abstract-short" style="display: inline;"> Machine Learning (ML) seems to be one of the most promising solution to automate partially or completely some of the complex tasks currently realized by humans, such as driving vehicles, recognizing voice, etc. It is also an opportunity to implement and embed new capabilities out of the reach of classical implementation techniques. However, ML techniques introduce new potential risks. Therefore, t… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2103.10529v1-abstract-full').style.display = 'inline'; document.getElementById('2103.10529v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2103.10529v1-abstract-full" style="display: none;"> Machine Learning (ML) seems to be one of the most promising solution to automate partially or completely some of the complex tasks currently realized by humans, such as driving vehicles, recognizing voice, etc. It is also an opportunity to implement and embed new capabilities out of the reach of classical implementation techniques. However, ML techniques introduce new potential risks. Therefore, they have only been applied in systems where their benefits are considered worth the increase of risk. In practice, ML techniques raise multiple challenges that could prevent their use in systems submitted to certification constraints. But what are the actual challenges? Can they be overcome by selecting appropriate ML techniques, or by adopting new engineering or certification practices? These are some of the questions addressed by the ML Certification 3 Workgroup (WG) set-up by the Institut de Recherche Technologique Saint Exup茅ry de Toulouse (IRT), as part of the DEEL Project. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2103.10529v1-abstract-full').style.display = 'none'; document.getElementById('2103.10529v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 18 March, 2021; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> March 2021. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">113 pages, White paper</span> </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Report number:</span> S079L03T00-005 <span class="has-text-black-bis has-text-weight-semibold">ACM Class:</span> I.2; K.7.3 </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2006.02338">arXiv:2006.02338</a> <span> [<a href="https://arxiv.org/pdf/2006.02338">pdf</a>, <a href="https://arxiv.org/format/2006.02338">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Computer Vision and Pattern Recognition">cs.CV</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Image and Video Processing">eess.IV</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1007/978-3-030-59716-0_25">10.1007/978-3-030-59716-0_25 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Flexible Bayesian Modelling for Nonlinear Image Registration </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Brudfors%2C+M">Mikael Brudfors</a>, <a href="/search/cs?searchtype=author&query=Balbastre%2C+Y">Ya毛l Balbastre</a>, <a href="/search/cs?searchtype=author&query=Flandin%2C+G">Guillaume Flandin</a>, <a href="/search/cs?searchtype=author&query=Nachev%2C+P">Parashkev Nachev</a>, <a href="/search/cs?searchtype=author&query=Ashburner%2C+J">John Ashburner</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2006.02338v1-abstract-short" style="display: inline;"> We describe a diffeomorphic registration algorithm that allows groups of images to be accurately aligned to a common space, which we intend to incorporate into the SPM software. The idea is to perform inference in a probabilistic graphical model that accounts for variability in both shape and appearance. The resulting framework is general and entirely unsupervised. The model is evaluated at inter-… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2006.02338v1-abstract-full').style.display = 'inline'; document.getElementById('2006.02338v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2006.02338v1-abstract-full" style="display: none;"> We describe a diffeomorphic registration algorithm that allows groups of images to be accurately aligned to a common space, which we intend to incorporate into the SPM software. The idea is to perform inference in a probabilistic graphical model that accounts for variability in both shape and appearance. The resulting framework is general and entirely unsupervised. The model is evaluated at inter-subject registration of 3D human brain scans. Here, the main modeling assumption is that individual anatomies can be generated by deforming a latent 'average' brain. The method is agnostic to imaging modality and can be applied with no prior processing. We evaluate the algorithm using freely available, manually labelled datasets. In this validation we achieve state-of-the-art results, within reasonable runtimes, against previous state-of-the-art widely used, inter-subject registration algorithms. On the unprocessed dataset, the increase in overlap score is over 17%. These results demonstrate the benefits of using informative computational anatomy frameworks for nonlinear registration. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2006.02338v1-abstract-full').style.display = 'none'; document.getElementById('2006.02338v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 3 June, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> June 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">Accepted for MICCAI 2020</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1711.09713">arXiv:1711.09713</a> <span> [<a href="https://arxiv.org/pdf/1711.09713">pdf</a>, <a href="https://arxiv.org/format/1711.09713">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Software Engineering">cs.SE</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> </div> </div> <p class="title is-5 mathjax"> Boutiques: a flexible framework for automated application integration in computing platforms </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Glatard%2C+T">Tristan Glatard</a>, <a href="/search/cs?searchtype=author&query=Kiar%2C+G">Gregory Kiar</a>, <a href="/search/cs?searchtype=author&query=Aumentado-Armstrong%2C+T">Tristan Aumentado-Armstrong</a>, <a href="/search/cs?searchtype=author&query=Beck%2C+N">Natacha Beck</a>, <a href="/search/cs?searchtype=author&query=Bellec%2C+P">Pierre Bellec</a>, <a href="/search/cs?searchtype=author&query=Bernard%2C+R">R茅mi Bernard</a>, <a href="/search/cs?searchtype=author&query=Bonnet%2C+A">Axel Bonnet</a>, <a href="/search/cs?searchtype=author&query=Camarasu-Pop%2C+S">Sorina Camarasu-Pop</a>, <a href="/search/cs?searchtype=author&query=Cervenansky%2C+F">Fr茅d茅ric Cervenansky</a>, <a href="/search/cs?searchtype=author&query=Das%2C+S">Samir Das</a>, <a href="/search/cs?searchtype=author&query=da+Silva%2C+R+F">Rafael Ferreira da Silva</a>, <a href="/search/cs?searchtype=author&query=Flandin%2C+G">Guillaume Flandin</a>, <a href="/search/cs?searchtype=author&query=Girard%2C+P">Pascal Girard</a>, <a href="/search/cs?searchtype=author&query=Gorgolewski%2C+K+J">Krzysztof J. Gorgolewski</a>, <a href="/search/cs?searchtype=author&query=Guttmann%2C+C+R+G">Charles R. G. Guttmann</a>, <a href="/search/cs?searchtype=author&query=Hayot-Sasson%2C+V">Val茅rie Hayot-Sasson</a>, <a href="/search/cs?searchtype=author&query=Quirion%2C+P">Pierre-Olivier Quirion</a>, <a href="/search/cs?searchtype=author&query=Rioux%2C+P">Pierre Rioux</a>, <a href="/search/cs?searchtype=author&query=Rousseau%2C+M">Marc-Eienne Rousseau</a>, <a href="/search/cs?searchtype=author&query=Evans%2C+A+C">Alan C. Evans</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1711.09713v1-abstract-short" style="display: inline;"> We present Boutiques, a system to automatically publish, integrate and execute applications across computational platforms. Boutiques applications are installed through software containers described in a rich and flexible JSON language. A set of core tools facilitate the construction, validation, import, execution, and publishing of applications. Boutiques is currently supported by several distinc… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1711.09713v1-abstract-full').style.display = 'inline'; document.getElementById('1711.09713v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1711.09713v1-abstract-full" style="display: none;"> We present Boutiques, a system to automatically publish, integrate and execute applications across computational platforms. Boutiques applications are installed through software containers described in a rich and flexible JSON language. A set of core tools facilitate the construction, validation, import, execution, and publishing of applications. Boutiques is currently supported by several distinct virtual research platforms, and it has been used to describe dozens of applications in the neuroinformatics domain. We expect Boutiques to improve the quality of application integration in computational platforms, to reduce redundancy of effort, to contribute to computational reproducibility, and to foster Open Science. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1711.09713v1-abstract-full').style.display = 'none'; document.getElementById('1711.09713v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 7 November, 2017; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2017. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages</span> </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search 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