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  Justas Dapkūnas, Albertas Timinskas, Kliment Olechnovič, Miglė Tomkuvienė, Česlovas Venclovas. PPI3D: a web server for searching, analyzing and modeling protein–protein, protein–peptide and protein–nucleic acid interactions. Nucleic Acids Research, 2024, 52 (W1), pp.W264-W271. ⟨10.1093/nar/gkae278⟩. ⟨hal-04805391⟩
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  Valentin Lombard, Dan Timsit, Sergei Grudinin, Elodie Laine. SeaMoon: Prediction of molecular motions based on language models. 2024. ⟨hal-04801636⟩
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  Davy Darankoum, Manon Villalba, Clélia Allioux, Baptiste Caraballo, Carine Dumont, et al.. From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals. 2024. ⟨hal-04801600⟩
• 
  Rémi Vuillemot, Jean-Luc Pellequer, Sergei Grudinin. AFMfit : Deciphering conformational dynamics in AFM data using fast nonlinear NMA and FFT-based search. 2024. ⟨hal-04801568⟩
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  Ł J Dziadek, A K Sieradzan, C. Czaplewski, M. Zalewski, F. Banaś, et al.. Assessment of Four Theoretical Approaches to Predict Protein Flexibility in the Crystal Phase and Solution. Journal of Chemical Theory and Computation, 2024, 20 (17), pp.7667-7681. ⟨10.1021/acs.jctc.4c00754⟩. ⟨hal-04801366⟩
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  Harold W Hatch, Christina Bergonzo, Marco A Blanco, Guangcui Yuan, Sergei Grudinin, et al.. Anisotropic coarse-grain Monte Carlo simulations of lysozyme, lactoferrin, and NISTmAb by precomputing atomistic models. The Journal of Chemical Physics, 2024, 161 (9), ⟨10.1063/5.0224809⟩. ⟨hal-04801302⟩
• 
  Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini. Sparse Asynchronous Distributed Learning. Neural Information Processing - 27th International Conference, ICONIP, Nov 2020, Bangkok, Thailand. pp.429-438, ⟨10.1007/978-3-030-63823-8_50⟩. ⟨hal-04763780⟩
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  Kévin Polisano, Basile Dubois-Bonnaire, Sylvain Meignen. Gridless 2D Recovery of Lines Using the Sliding Frank-Wolfe Algorithm. 2024, ⟨swh:1:dir:7b2bb2e2b25c4101be2fbae79655f0a95afa6687;origin=https://hal.archives-ouvertes.fr/hal-04736805;visit=swh:1:snp:ab8852118c0c9fd25a2f6e2e09ac9b409b5b6e0c;anchor=swh:1:rel:191d56f7103d942cad6c3cd58105dab8530d1d6c;path=/⟩. ⟨hal-04736805⟩
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  Jérôme Lelong, Véronique Maume-Deschamps, William Thevenot. Sample Average Approximation for Portfolio Optimization under CVaR constraint in an (re)insurance context. 2024. ⟨hal-04733015⟩
• 
  Tam Le, Jérôme Malick. Universal generalization guarantees for Wasserstein distributionally robust models. 2024. ⟨hal-04460543v3⟩
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  Hamza Ennaji, Jalal M. Fadili, Hedy Attouch. Stochastic monotone inclusion with closed loop distributions. 2024. ⟨hal-04652333v2⟩
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  Nathaël da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said. Geometric Learning with Positively Decomposable Kernels. 2024. ⟨hal-04270518v2⟩
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  Nathaël da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said. Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach. 2024. ⟨hal-04270515v2⟩
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  Cyrus Mostajeran, Salem Said. Invariant kernels on the space of complex covariance matrices. 2024. ⟨hal-04525081v2⟩
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  Evgeniya Vorontsova, Roland Hildebrand, Alexander Gasnikov, Fedor Stonyakin. Выпуклая оптимизация. MIPT, 2021, 978-5-7417-0776-0. ⟨10.48550/arXiv.2106.01946⟩. ⟨hal-03376610⟩
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  Sergei Grudinin. New Challenges in Structural Bioinformatics: When Physics Meets Big Data. Bioinformatics [q-bio.QM]. Université Grenoble Alpes, 2024. ⟨tel-04632105⟩
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  Dmitrii Zhemchuzhnikov, Sergei Grudinin. On the Fourier analysis in the SO(3) space : EquiLoPO Network. 2024. ⟨hal-04632092⟩
• 
  Dmitrii Zhemchuzhnikov, Sergei Grudinin. ILPO-NET: Network for the invariant recognition of arbitrary volumetric patterns in 3D. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. ⟨hal-04632077⟩
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  Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos. What is the long-run distribution of stochastic gradient descent? A large deviations analysis. ICML 2024 - 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria. pp.1-70. ⟨hal-04629305⟩
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  Kévin Polisano, Basile Dubois-Bonnaire, Sylvain Meignen. Gridless 2D Recovery of Lines using the Sliding Frank-Wolfe Algorithm. EUSIPCO 2024 - 32th European Signal Processing Conference, Aug 2024, Lyon, France. ⟨hal-04505428v2⟩

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