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    <rss:description>Authors: Didier Auroux, Martin Campos Pinto, Bruno Després, Victorita Dolean, Stéphane Lanteri and Victor Michel-Dansac.&lt;br /&gt;ESAIM: Proceedings and Surveys Vol. 81 , page 1&lt;br /&gt;Published online: 10/10/2025</rss:description>
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    <rss:title>A dynamical neural Galerkin scheme for filtering problems</rss:title>
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    <rss:title>Benchmarking PDE problems via machine learning for enhanced computational modeling</rss:title>
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    <rss:description>Authors: Didier Auroux, Martin Campos Pinto, Bruno Després, Victorita Dolean, Stéphane Lanteri, Victor Michel-Dansac, Bahae-Eddine Madir and Antoine Lechevallier.&lt;br /&gt;ESAIM: Proceedings and Surveys Vol. 81 , page 33&lt;br /&gt;Published online: 10/10/2025</rss:description>
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    <rss:title>Comparison between tensor methods and neural networks in electronic structure calculations***</rss:title>
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    <rss:description>Authors: Didier Auroux, Martin Campos Pinto, Bruno Després, Victorita Dolean, Stéphane Lanteri, Victor Michel-Dansac, Mathias Dus, Geneviève Dusson, Virginie Ehrlacher, Clément Guillot and Joel Pascal Soffo Wambo.&lt;br /&gt;ESAIM: Proceedings and Surveys Vol. 81 , page 55&lt;br /&gt;Published online: 10/10/2025</rss:description>
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    <rss:title>Analysis and optimization of a liquid-vapor thermohydraulic model</rss:title>
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    <rss:description>Authors: Didier Auroux, Martin Campos Pinto, Bruno Després, Victorita Dolean, Stéphane Lanteri, Victor Michel-Dansac, Philippe Helluy and Gauthier Lazare.&lt;br /&gt;ESAIM: Proceedings and Surveys Vol. 81 , page 77&lt;br /&gt;Published online: 10/10/2025</rss:description>
    <dc:title>Analysis and optimization of a liquid-vapor thermohydraulic model</dc:title>
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    <rss:title>Surrogate modeling of interactions in microbial communities through Physics-Informed Neural Networks*</rss:title>
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    <rss:description>Authors: Didier Auroux, Martin Campos Pinto, Bruno Després, Victorita Dolean, Stéphane Lanteri, Victor Michel-Dansac, Paguiel Javan Hossie, Béatrice Laroche, Thibault Malou, Lucas Perrin, Thomas Saigre and Lorenzo Sala.&lt;br /&gt;ESAIM: Proceedings and Surveys Vol. 81 , page 104&lt;br /&gt;Published online: 10/10/2025</rss:description>
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    <rss:title>Volume-preserving transformers for learning time series data with structure</rss:title>
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    <rss:description>Authors: Didier Auroux, Martin Campos Pinto, Bruno Després, Victorita Dolean, Stéphane Lanteri, Victor Michel-Dansac, Benedikt Brantner, Michael Kraus, Zeyuan Li and Guillaume de Romemont.&lt;br /&gt;ESAIM: Proceedings and Surveys Vol. 81 , page 123&lt;br /&gt;Published online: 10/10/2025</rss:description>
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    <rss:title>Predicting ultimate hydrogen production and residual volume during cyclic underground hydrogen storage in porous media using machine learning</rss:title>
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    <rss:description>Authors: Didier Auroux, Martin Campos Pinto, Bruno Després, Victorita Dolean, Stéphane Lanteri, Victor Michel-Dansac, Raymond Mushabe, Jean Donald Minougou, David Landa-Marbán, Birane Kane and Tor Harald Sandve.&lt;br /&gt;ESAIM: Proceedings and Surveys Vol. 81 , page 145&lt;br /&gt;Published online: 10/10/2025</rss:description>
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    <rss:title>Generalizing the SINDy approach with nested neural networks</rss:title>
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    <rss:description>Authors: Didier Auroux, Martin Campos Pinto, Bruno Després, Victorita Dolean, Stéphane Lanteri, Victor Michel-Dansac, Camilla Fiorini, Clément Flint, Louis Fostier, Emmanuel Franck, Reyhaneh Hashemi, Victor Michel-Dansac and Wassim Tenachi.&lt;br /&gt;ESAIM: Proceedings and Surveys Vol. 81 , page 168&lt;br /&gt;Published online: 10/10/2025</rss:description>
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    <rss:title>Multidimensional integration using machine learning and Monte Carlo methods for acoustic predictions</rss:title>
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