Journal articles

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Julien Ajdenbaum, Emilie Chouzenoux, Claire Lefort, Ségolène Martin, Jean-Christophe Pesquet. A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution. Inverse Problems, 2024, 40 (6), ⟨10.1088/1361-6420/ad3c67⟩. ⟨hal-04296247v2⟩

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Samy Ammari, Arnaud Quillent, Víctor Elvira, François Bidault, Gabriel Garcia, et al.. Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study. Journal of Imaging Informatics in Medicine, 2024, Online ahead of print. ⟨10.1007/s10278-024-01255-y⟩. ⟨hal-04734195⟩

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Theodore Aouad, Valerie Laurent, Paul Levant, Agnes Rode, Nina Brillat-Savarin, et al.. Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge. Diagnostic and Interventional Imaging, 2024, 105 (10), pp.395-399. ⟨10.1016/j.diii.2024.07.002⟩. ⟨hal-04670352⟩

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Rémy Barbe, Younes Belkouchi, Yves Menu, Romain Cohen, Clemence David, et al.. Imaging-guided prognostic score-based approach to assess the benefits of combotherapy versus monotherapy with immune checkpoint inhibitors in metastatic MSI-H colorectal cancer patients. European Journal of Cancer, 2024, 202, pp.114020. ⟨10.1016/j.ejca.2024.114020⟩. ⟨hal-04907203⟩

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Aurélie Beaufrère, Nora Ouzir, Paul Emile Zafar, Astrid Laurent-Bellue, Miguel Albuquerque, et al.. Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning. JHEP Reports Innovation in Hepatology, 2024, 6 (3), pp.101008. ⟨10.1016/j.jhepr.2024.101008⟩. ⟨hal-04534805⟩

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Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot. Learning truly monotone operators with applications to nonlinear inverse problems. SIAM Journal on Imaging Sciences, In press. ⟨hal-04530164⟩

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Jérôme Bolte, Edouard Pauwels, Antonio José Silveti-Falls. Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems. SIAM Journal on Optimization, 2024, 34 (1), 27 p. ⟨10.1137/22M1541630⟩. ⟨hal-03900339v2⟩

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Jhon Castro-Correa, Jhony Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros. Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction. IEEE Transactions on Neural Networks and Learning Systems, 2024, ⟨10.1109/TNNLS.2024.3381069⟩. ⟨hal-04541700⟩

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Jia Chen, Congcong Wang, Fan Shi, Mounir Kaaniche, Meng Zhao, et al.. DSNet: A Dynamic Squeeze Network for Real-time Weld Seam Image Segmentation. Engineering Applications of Artificial Intelligence, 2024, 133, pp.108278. ⟨10.1016/j.engappai.2024.108278⟩. ⟨hal-04505581⟩

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Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti. A variational approach for joint image recovery and feature extraction based on spatially varying generalised Gaussian models. Journal of Mathematical Imaging and Vision, 2024, 66, pp.550-571. ⟨10.1007/s10851-024-01184-z⟩. ⟨hal-03591742v3⟩

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Emilie Chouzenoux, Jean-Baptiste Fest. Convergence Analysis of Block Majorize-Minimize Subspace Approach. Optimization Letters, 2024, 18, pp.1111-1130. ⟨10.1007/s11590-023-02055-z⟩. ⟨hal-04202728⟩

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Emilie Chouzenoux, Víctor Elvira. Sparse Graphical Linear Dynamical Systems. Journal of Machine Learning Research, 2024, 25 (223), pp.1-53. ⟨hal-04358490v2⟩

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Emilie Chouzenoux, Jean-Christophe Pesquet, Fernando Roldán. Solution of Mismatched Monotone+Lipschitz Inclusion Problems. SIAM Journal on Optimization, 2024, 34 (4), ⟨10.1137/23M1609166⟩. ⟨hal-04237154⟩

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Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Gabriel Dauphin, Jean-Christophe Pesquet. Joint Learning of Fully Connected Network Models in Lifting Based Image Coders. IEEE Transactions on Image Processing, 2024, 33, pp.134-148. ⟨10.1109/TIP.2023.3333279⟩. ⟨hal-04372168⟩

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Lama Dawi, Younes Belkouchi, Littisha Lawrance, Othilie Gautier, Samy Ammari, et al.. Liquid Biopsy versus CT: Comparison of Tumor Burden Quantification in 1065 Patients with Metastases. Radiology, 2024, 313 (2), ⟨10.1148/radiol.232674⟩. ⟨hal-04905199⟩

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Aissam Djahnine, Carole Lazarus, Mathieu Lederlin, Sébastien Mulé, Rafael Wiemker, et al.. Detection and severity quantification of pulmonary embolism with 3D CT data using an automated deep learning-based artificial solution. Diagnostic and Interventional Imaging, 2024, ⟨10.1016/j.diii.2023.09.006⟩. ⟨hal-04396326⟩

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Aref Einizade, Jhony H. Giraldo, Fragkiskos D. Malliaros, Sepideh Hajipour Sardouie. Estimation of a causal directed acyclic graph process using non-gaussianity. Digital Signal Processing, 2024, 146, pp.104400. ⟨10.1016/j.dsp.2024.104400⟩. ⟨hal-04541701⟩

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Pedro Gajardo, Thomas Guilmeau, Cristopher Hermosilla. Sensitivity Analysis of the Set of Sustainable Thresholds. Set-Valued and Variational Analysis, 2024, 32, pp.18. ⟨10.1007/s11228-024-00721-7⟩. ⟨hal-04112730v2⟩

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Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet. An Unrolled Half-Quadratic Approach for Sparse Signal Recovery in Spectroscopy. Signal Processing, 2024, 218, ⟨10.1016/j.sigpro.2023.109369⟩. ⟨hal-04229774v2⟩

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Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. A Divergence-Based Condition to Ensure Quantile Improvement in Black-Box Global Optimization. IEEE Transactions on Evolutionary Computation, 2024, pp.1-1. ⟨10.1109/TEVC.2024.3452420⟩. ⟨hal-04711649⟩

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Thomas Guilmeau, Alain Rapaport. Multiplicity of neutrally stable periodic orbits with coexistence in the chemostat subject to periodic removal rate. SIAM Journal on Applied Mathematics, 2024, 84 (1), pp.39-59. ⟨10.1137/23M1552450⟩. ⟨hal-04248438⟩

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Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. On variational inference and maximum likelihood estimation with the $ \lambda $-exponential family. Foundations of Data Science, 2024, 6 (1), pp.85-123. ⟨10.3934/fods.2024011⟩. ⟨hal-04616759⟩

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Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. DeConFCluster: Deep Convolutional Transform Learning based Multiview Clustering Fusion Framework. Signal Processing, In press, 224 (109597), ⟨10.1016/j.sigpro.2024.109597⟩. ⟨hal-04635484⟩

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Simona Juvina, Ana-Antonia Neacșu, Jean-Christophe Pesquet, Burileanu Corneliu, Jérôme Rony, et al.. Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. Transactions on Machine Learning Research Journal, 2024. ⟨hal-04828157⟩

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Astrid Laurent-Bellue, Aymen Sadraoui, Laura Claude, Julien Calderaro, Katia Posseme, et al.. Deep Learning Classification and Quantification of Pejorative and Nonpejorative Architectures in Resected Hepatocellular Carcinoma from Digital Histopathologic Images. American Journal of Pathology, 2024, 194 (9), pp.1684-1700. ⟨10.1016/j.ajpath.2024.05.007⟩. ⟨hal-04903037⟩

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Aëlle Le Gall, Trieu-Nghi Hoang-Thi, Raphaël Porcher, Bertrand Dunogué, Alice Berezné, et al.. Prognostic value of automated assessment of interstitial lung disease on CT in systemic sclerosis. Rheumatology, 2024, 63 (1), pp.103-110. ⟨10.1093/rheumatology/kead164⟩. ⟨hal-04901595⟩

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Ana-Antonia Neacșu, Jean-Christophe Pesquet, Vlad Vasilescu, Corneliu Burileanu. ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness. SIAM Journal on Mathematics of Data Science, In press, 6 (3), ⟨10.1137/23M1589591⟩. ⟨hal-04386260v2⟩

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Nora Ouzir, Frédéric Pascal, Jean-Christophe Pesquet. Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions. IEEE Transactions on Signal Processing, 2024, 72, ⟨10.1109/TSP.2024.3453509⟩. ⟨hal-04366765v2⟩

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George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Jun Pang, Fragkiskos D. Malliaros. Learning graph representations for influence maximization. Social Network Analysis and Mining, 2024, 14 (1), pp.203. ⟨10.1007/s13278-024-01311-z⟩. ⟨hal-04824022⟩

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Jean-Christophe Pesquet, Corneliu Burileanu, Ana-Antonia Neacșu. EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks. ACM Transactions on Intelligent Systems and Technology, 2024, 15 (2), pp.1-25. ⟨10.1145/3635159⟩. ⟨hal-03751766v2⟩

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Carlos Santos, Mathilde Larchevêque, Solal O'Sullivan, Martin van Waerebeke, Robert R Thomson, et al.. A Primal-Dual Data-Driven Method for Computational Optical Imaging with a Photonic Lantern. PNAS Nexus, 2024, 3 (4), pgae164. ⟨10.1093/pnasnexus/pgae164⟩. ⟨hal-04913094⟩

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Quentin Vanderbecq, Maxence Gelard, Jean-Christophe Pesquet, Mathilde Wagner, Lionel Arrive, et al.. Deep Learning for Automatic Bowel-Obstruction Identification on Abdominal CT. European Radiology, 2024, 34, pp.5842-5853. ⟨10.1007/s00330-024-10657-z⟩. ⟨hal-04416987⟩

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Guillaume Vidon, Gabriele Scrivanti, Etienne Soret, Nao Harada, Emilie Chouzenoux, et al.. Rapid and Noise‐Resilient Mapping of Photogenerated Carrier Lifetime in Halide Perovskite Thin Films. Advanced Functional Materials, 2024, 34 (37), ⟨10.1002/adfm.202402343⟩. ⟨hal-04782328⟩

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Conference papers

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Hakim Benkirane, Maria Vakalopoulou, Stefan Michiels, Paul-Henry Cournède, William Lotter. Counterfactual Analysis for Digital Histopathology Slides Using Human Interpretable Features. MIDL 2024 - Medical Imaging with Deep Learning, Jul 2024, Paris, France. Online ahead of print. ⟨inserm-05034913⟩

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Alix Chazottes, Emilie Chouzenoux, Jean-Christophe Pesquet, Florent Sureau. Deep Equilibrium for Hyperparameter Estimation in Dynamic PET Reconstruction. MIC 2024 - IEEE Medical Imaging Conference, Oct 2024, Tampa (Florida), United States. ⟨10.1109/NSS/MIC/RTSD57108.2024.10657967⟩. ⟨hal-04707560⟩

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Emilie Chouzenoux, Víctor Elvira. Graphical inference in non-Markovian linear-Gaussian state-space models. ICASSP 2024 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2024, Seoul, South Korea. ⟨10.1109/ICASSP48485.2024.10447747⟩. ⟨hal-04417208⟩

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Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Gabriel Dauphin. Vers une nouvelle génération de schémas de lifting basés sur les réseaux de neurones et application à la compression d'images. COmpression et REprésentation des Signaux Audiovisuels, Institut National des Sciences Appliquées - Rennes [INSA Rennes], Nov 2024, Rennes, France. ⟨hal-04873726⟩

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Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo. Continuous Product Graph Neural Networks. NeurIPS 2024 - 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver (BC), Canada. ⟨hal-04896043⟩

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Rajaa El Hamdani, Thomas Bonald, Fragkiskos D. Malliaros, Nils Holzenberger, Fabian M. Suchanek. The Factuality of Large Language Models in the Legal Domain. CIKM 2024 - 33rd ACM International Conference on Information and Knowledge Management, Oct 2024, Boise Idaho, United States. pp.3741 - 3746, ⟨10.1145/3627673.3679961⟩. ⟨hal-04701151⟩

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Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval. Unrolled deep networks for sparse signal restoration in analytical chemistry. MLSP 2024 - 34th IEEE International Workshop on Machine Learning for Signal Processing, IEEE, Sep 2024, Londres, United Kingdom. ⟨10.1109/MLSP58920.2024.10734838⟩. ⟨hal-04707472⟩

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Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, et al.. Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray Image. SASHIMI 2024 - International Workshop on Simulation and Synthesis in Medical Imaging, Oct 2024, Marrakech, Morocco. pp.134-145. ⟨hal-04905243⟩

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Yi Gu, Yoshito Otake, Keisuke Uemura, Masaki Takao, Mazen Soufi, et al.. 3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation. MICCAI 2024, Oct 2024, Marrakech, Morocco. pp.3-13, ⟨10.1007/978-3-031-72104-5_1⟩. ⟨hal-04907132⟩

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Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Víctor Elvira. Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valencia, Spain. ⟨hal-04506761⟩

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Marcin Jankowski, Emila Lewandowska, Hugues Talbot, Daniel Wesierski, Anna Jezierska. Learning sperm cells part segmentation with class-specific data augmentation. HSI 2024 - 16th International Conference on Human System Interaction, Jul 2024, Paris, France. pp.1-6, ⟨10.1109/HSI61632.2024.10613572⟩. ⟨hal-04907150⟩

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Saarthak Kapse, Pushpak Pati, Srijan Das, Jingwei Zhang, Chao Chen, et al.. SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology. CVPR 2024 - Computer Vision and Pattern Recognition, Jun 2024, Seattle, United States. ⟨10.1109/CVPR52733.2024.01067⟩. ⟨hal-04901584⟩

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Yingping Li, Emilie Chouzenoux, Shuiping Gou, Peng Zeng, Samy Ammari, et al.. ComBat-MLE: A novel perspective on developing and solving ComBat harmonization method. IEEE Medai 2024 - The second IEEE international conference on medical artificial intelligence, Nov 2024, Chongqing, China. ⟨10.1109/MedAI62885.2024.00011⟩. ⟨hal-04781022⟩

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Daniele Malitesta, Emanuele Rossi, Claudio Pomo, Tommaso Di Noia, Fragkiskos D Malliaros. Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?. CIKM 2024 - The 33rd ACM International Conference on Information and Knowledge Management, Oct 2024, Boise, ID, United States. pp.3943-3948, ⟨10.1145/3627673.3679898⟩. ⟨hal-04847987⟩

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Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed. Transductive Zero-Shot and Few-Shot CLIP. CVPR 2024 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2024, Seattle, Washington, United States. ⟨hal-04534868⟩

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Ségolène Martin, Julien Ajdenbaum, Emilie Chouzenoux, Laetitia Magnol, Véronique Blanquet, et al.. Estimating the point-spread-function using 1 µm diameter microspheres for image restoration in biomedical multiphoton microscopy. SPIE Photonics Europe 2024, Apr 2024, Strasboug, France. pp.22, ⟨10.1117/12.3016624⟩. ⟨hal-04669405⟩

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Julie Mordacq, Leo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton. ADAPT: Multimodal Learning for Detecting Physiological Changes under Missing Modalities. MIDL 2024 - Medical Imaging with Deep Learning, Jul 2024, Paris, France. ⟨hal-04597429⟩

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Julie Mordacq, Leo Milecki, Maria Vakalopoulou, Steve Oudot, Vicky Kalogeiton. Multimodal Learning for Detecting Stress under Missing Modalities. WiCV 2024 - Women in Computer Vision workshop In conjunction with CVPR, Jun 2024, Seattle, United States. ⟨hal-04635922⟩

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Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski. You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning. NeurIPS 2024 - The Thirty-Eighth Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada. ⟨hal-04901524⟩

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George Panagopoulos, Daniele Malitesta, Fragkiskos D Malliaros, Jun Pang. Uplift Modeling Under Limited Supervision. ECML PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. ⟨10.1007/978-3-031-70365-2_8⟩. ⟨hal-04601553⟩

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Aymen Sadraoui, Astrid Laurent-Bellue, Mounir Kaaniche, Amel Benazza-Benyahia, Catherine Guettier, et al.. Unrolled projected gradient algorithm for stain separation in digital histopathological images. ICIP 2024 - IEEE International Conference on Image Processing, Oct 2024, Abu Dhabi, United Arab Emirates. ⟨10.1109/icip51287.2024.10648171⟩. ⟨hal-04444439⟩

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Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, et al.. A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer. ISBI 2024 - 21st IEEE International Symposium on Biomedical Imaging, May 2024, Athènes, Greece. ⟨10.1109/ISBI56570.2024.10635817⟩. ⟨hal-04305713v2⟩

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Raoul Sallé de Chou, Matthew Sinclair, Sabrina Lynch, Nan Xiao, Laurent Najman, et al.. Finite Volume Informed Graph Neural Network for Myocardial Perfusion Simulation. Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, Jul 2024, Paris, France. pp.276-288. ⟨hal-04828473⟩

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Raoul Sallé de Chou, Mohamed Ali Srir, Laurent Najman, Nicolas Passat, Hugues Talbot, et al.. Convex optimization for binary tree-based transport networks. International Conference on Discrete Geometry and Mathematical Morphology (DGMM), 2024, Florence, Italy. pp.217-228, ⟨10.1007/978-3-031-57793-2_17⟩. ⟨hal-04359833⟩

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Vlad Vasilescu, Ana Neacsu, Jean-Christophe Pesquet. Are almost non-negative neural networks universal approximators?. MLSP 2024 - IEEE International Workshop on Machine Learning for Signal Processing Search form Search, Sep 2024, London, United Kingdom. ⟨10.1109/MLSP58920.2024.10734768⟩. ⟨hal-04698445⟩

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Guillaume Vidon, Gabriele Scrivanti, Etienne Soret, Nao Harada, Emilie Chouzenoux, et al.. Rapid and Noise-Resilient Mapping of Photogenerated Carrier Lifetime in Halide Perovskite Thin Films. 2024 MRS Fall Meeting, Dec 2024, Boston (MA), United States. ⟨hal-04906031⟩

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Mathieu Vu, Emilie Chouzenoux, Jean-Christophe Pesquet, Stéphane Boutinon, Marius Peloux, et al.. Deep learning method for accessible eccentric photorefraction. ISBI 2024 - 21st IEEE International Symposium on Biomedical Imaging, May 2024, Athènes, Greece. ⟨hal-04488060⟩

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Book sections

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Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Äijö, Dominik Narnhofer, et al.. Majoration-Minimization for Sparse SVMs. Advanced Techniques in Optimization for Machine Learning and Imaging, 61, Springer Nature Singapore, pp.31-54, 2024, Springer INdAM Series - INdAM Workshop: Advanced Techniques in Optimization for Machine learning and Imaging, 978-981-97-6771-7. ⟨10.1007/978-981-97-6769-4_3⟩. ⟨hal-04719965⟩

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Habilitation à diriger des recherches

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Fragkiskos D. Malliaros. A Machine Learning Tour in Network Science. Machine Learning [cs.LG]. Universite Paris-Saclay, 2024. ⟨tel-04558005⟩

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Patents

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Manel Ben Youssef, Diop Maissa, Sylvain Lempereur, Menetrey Emile, Hugues Talbot. Method for determining whether an image of a person's face is suitable for use as an ID photograph. France, Patent n° : US 2024/0338977. 2024. ⟨hal-04905220⟩

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Poster communications

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L. Le Bescond, V. Suciu, S. Christodoulidis, M. Vakalopoulou, Hugues Talbot, et al.. 171P A deep learning model for breast cancer diagnosis from fine-needle aspiration cytology whole slide images. ESMO Open, May 2024, Berlin, Germany. Abstract Book of ESMO Breast Cancer 2024, 9, pp.103193, 2024, ⟨10.1016/j.esmoop.2024.103193⟩. ⟨hal-04907193⟩

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Theses

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Théodore Aouad. A Foundation For Binary Morphological Neural Networks. Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG032⟩. ⟨tel-04973764⟩

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Alexandre Duval. A Graph Machine Learning Journey : from Explainability to Climate Action. Neural and Evolutionary Computing [cs.NE]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG010⟩. ⟨tel-05067108⟩

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Ségolène Martin. Variational methods for large-scale data problems in imaging. Image Processing [eess.IV]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPAST005⟩. ⟨tel-04947952⟩

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Preprints, Working Papers, ...

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Enzo Battistella, Maria Vakalopoulou, Nikos Paragios, Eric Deutsch. GHOST: Graph-based Higher-Order Similarity Transformation for Classification. 2024. ⟨hal-03563705v2⟩

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Flavia Chorobura, Ion I Necoara, Jean-Christophe Pesquet. AN ADAPTIVE FORWARD-BACKWARD-FORWARD SPLITTING ALGORITHM FOR SOLVING PSEUDO-MONOTONE INCLUSIONS. 2024. ⟨hal-04571492⟩

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Emilie Chouzenoux, Cecile Della Valle, Jean-Christophe Pesquet. Stability Bounds for the Unfolded Forward-Backward Algorithm. 2024. ⟨hal-04854255⟩

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Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Christophe Pesquet, et al.. An Effective Iterative Solution for Independent Vector Analysis with Convergence Guarantees. 2024. ⟨hal-04785828⟩

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Benjamin Cox, Emilie Chouzenoux, Víctor Elvira. GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models. 2024. ⟨hal-04874023⟩

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Jean-Luc Dupire, Younes Belkouchi, Leo Stepien, Nicolas Billet, Lama Dawi, et al.. 3D lung nodule segmentation from 2D annotations using morphological operations. 2024. ⟨hal-04418151⟩

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Alexandre Duval, Simon V Mathis, Chaitanya K Joshi, Victor Schmidt, Santiago Miret, et al.. A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems. 2024. ⟨hal-04409413⟩

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Jean-Baptiste Fest, Audrey Repetti, Emilie Chouzenoux. A stochastic use of the Kurdyka-Lojasiewicz property: Investigation of optimization algorithms behaviours in a non-convex differentiable framework. 2024. ⟨hal-04874316⟩

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Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. A divergence-based condition to ensure quantile improvement in black-box global optimization. 2024. ⟨hal-04616771⟩

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Sylvain Lempereur, Matthieu Simion, Elodie Machado, Fabrice Licata, Lilian Buzer, et al.. ZeBraInspector, a platform for the automated segmentation and analysis of body and brain volumes in whole 5 dpf zebrafish following simultaneous visualization with identical orientations. 2024. ⟨hal-04580401⟩

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Daniele Malitesta, Giacomo Medda, Erasmo Purificato, Ludovico Boratto, Fragkiskos D. Malliaros, et al.. How Fair is Your Diffusion Recommender Model?. 2024. ⟨hal-04849064⟩

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Joeri Nicolaes, Evi Tselenti, Theodore Aouad, Clementina López-Medina, Antoine Feydy, et al.. Performance Analysis of a Deep Learning Algorithm to Detect MRI Positive Sacroiliac Joints in Patients with Axial Spondyloarthritis According to the Assessment of SpondyloArthritis international Society 2009 Definition. 2024. ⟨hal-04402030⟩

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Leo Stepien, Younes Belkouchi, Jean-Luc Dupire, Nicolas Billet, Lama Dawi, et al.. Supervoxel based 3D diseased lung segmentation. 2024. ⟨hal-04418158⟩

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