Recent Publications
Article dans une revue
Juan Miramont, François Auger, Marcelo Colominas, Nils Laurent, Sylvain Meignen
Unsupervised classification of the spectrogram zeros with an application to signal detection and denoising
Signal Processing, 2024, 214, pp.109250. ⟨10.1016/j.sigpro.2023.109250⟩
Article dans une revue
Xiaoyu Lin, Laurent Girin, Xavier Alameda-Pineda
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation
Transactions on Machine Learning Research Journal, 2024
Article dans une revue
Ritesh Gupta, Franck Bourrier, Vincent Acary, Stéphane Lambert
Bayesian interface based calibration of a novel rockfall protection structure modelled in the Non-smooth contact dynamics framework
Engineering Structures, 2023, ⟨10.1016/j.engstruct.2023.116936⟩
Communication dans un congrès
Huy Nguyen, Trungtin Nguyen, Nhat Ho
Demystifying Softmax Gating in Gaussian Mixture of Experts
NeurIPS 2023 spotlight, Dec 2023, New Orleans, United States. pp.1-27
Communication dans un congrès
Waïss Azizian, Franck Iutzeler, Jérôme Malick
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans, United States
Communication dans un congrès
Giang Do, Khiem Le, Quang Pham, Trungtin Nguyen, Thanh-Nam Doan, Thanh-Binh Nguyen, Chenghao Liu, Savitha Ramasam, Xiaoli Li, Steven Hoi
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts via HyperNetwork
The 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023 Main, Dec 2023, 2023 - Resorts World Convention Centre, Singapore. pp.1-12
Article dans une revue
Matthieu Armando, Laurence Boissieux, Edmond Boyer, Jean-Sébastien Franco, Martin Humenberger, Christophe Legras, Vincent Leroy, Mathieu Marsot, Julien Pansiot, Sergi Pujades, Rim Rekik Dit Nekhili, Grégory Rogez, Anilkumar Swamy, Stefanie Wuhrer
4DHumanOutfit: a multi-subject 4D dataset of human motion sequences in varying outfits exhibiting large displacements
Computer Vision and Image Understanding, 2023, 237, ⟨10.1016/j.cviu.2023.103836⟩
Article dans une revue
Vaishnavi Ameya Murukutla, Elie Cattan, Benjamin Lecouteux, Remi Ronfard, Olivier Palombi
Text-to-movie authoring of anatomy lessons
Artificial Intelligence in Medicine, 2023, 146, pp.102717. ⟨10.1016/j.artmed.2023.102717⟩
Article dans une revue
Mohamed Reda El Amri, Céline Helbert, Miguel Munoz Zuniga, Clémentine Prieur, Delphine Sinoquet
Feasible Set Estimation under Functional Uncertainty by Gaussian Process Modelling
Physica D: Nonlinear Phenomena, 2023, 455, pp.133893. ⟨10.1016/j.physd.2023.133893⟩
Pré-publication, Document de travail
Vincent Bansaye, Pierre-Yves Boëlle, Simon Cauchemez, Bernard Cazelles, Pascal Crepey, Lina Cristancho-Fajardo, Jean-Stéphane Dhersin, Sorin Dumitrescu, Pauline Ezanno, Antoine Flahault, Jean-Louis Golmard, Patrick Hoscheit, Henri Mermoz Kouye, Madeleine Kubasch, Catherine Laredo, Alain Mallet, Lulla Opatowski, Clémentine Prieur, Amandine Véber
Hommage à Elisabeta Vergu
2023
Communication dans un congrès
Trungtin Nguyen, Dung Ngoc Nguyen, Hien Duy Nguyen, Faicel Chamroukhi
A non-asymptotic risk bound for model selection in a high-dimensional mixture of experts via joint rank and variable selection
AJCAI 2023 - Australasian Joint Conference on Artificial Intelligence, Nov 2023, Brisbane, Australia. pp.1-32
Pré-publication, Document de travail
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The rate of convergence of Bregman proximal methods: Local geometry vs. regularity vs. sharpness
2023
Communication dans un congrès
Kévin Polisano
Étude de l’invariance par translation des premières couches des réseaux de neurones convolutifs
DATA seminar, Nov 2023, Grenoble, France
Pré-publication, Document de travail
Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent
2023
Pré-publication, Document de travail
L Delannoy, M Auzanneau, B Andrieu, O Vidal, P.-Y Longaretti, E Prados, D J Murphy, R W Bentley, M Carbajales-Dale, M Raugei, M Höök, V Court, C W King, F Fizaine, P Jacques, M K Heun, A Jackson, C Guay-Boutet, E Aramendia, J Wang, Hugo Le Boulzec, Charles A. S. Hall
Emerging consensus on net energy paves the way for improved integrated assessment modeling
2023
Pré-publication, Document de travail
Minh Tri Lê, Pierre Wolinski, Julyan Arbel
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
2023
Communication dans un congrès
Aymen Merrouche, João Regateiro, Stefanie Wuhrer, Edmond Boyer
Deformation-Guided Unsupervised Non-Rigid Shape Matching
BMVC 2023 - 34th British Machine Vision Conference, Nov 2023, Aberdeen, United Kingdom. pp.1-22
Communication dans un congrès
Bruno Ventéjou, Thibaut Métivet, Aurélie Dupont, Christian Graff, Philippe Peyla
A hydrodynamic toy model for fish locomotion
DFD 2023 - 76th Annual Meeting of the Division of Fluid Dynamics, American Physical Society, Nov 2023, Washinghton DC, United States
Article dans une revue
Xavier Adriaens, Ludovic Métivier, Christophe Geuzaine
Inner product preconditioned trust-region methods for frequency-domain full waveform inversion
Journal of Computational Physics, 2023, 493, pp.112469. ⟨10.1016/j.jcp.2023.112469⟩
Article dans une revue
Gauthier Rousseau, Thibaut Métivet, Hugo Rousseau, Gilles Daviet, Florence Bertails-Descoubes
Revisiting the role of friction coefficients in granular collapses: confrontation of 3-D non-smooth simulations with experiments
Journal of Fluid Mechanics, 2023, ⟨10.1017/jfm.2023.835⟩
Pré-publication, Document de travail
Carlos Brito-Pacheco, Charles Dapogny
Body-fitted tracking within a surface via a level set based mesh evolution method
2023
Communication dans un congrès
Hubert Leterme, Kévin Polisano, Karteek Alahari, Valérie Perrier
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks
Workshop ASCETE 2023 - Workshop pour l'association pour les orthoptéristes et les entomocénoticiens, Sylvain Meignen, Nov 2023, Grenoble, France
Pré-publication, Document de travail
Rafael Flock, Yiqiu Dong, Felipe Uribe, Olivier Zahm
Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior
2023
Pré-publication, Document de travail
Nathaël da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
Invariant kernels on Riemannian symmetric spaces: a harmonic-analytic approach
2023
Pré-publication, Document de travail
Nathaël da Costa, Cyrus Mostajeran, Juan-Pablo Ortega, Salem Said
Geometric Learning with Positively Decomposable Kernels
2023
Pré-publication, Document de travail
Jialun Zhou, Salem Said, Yannick Berthoumieu
Adaptive online estimation for mixtures of ECD: a geometric approach
2023
Article dans une revue
Hanâ Lbath, Alexander Petersen, Wendy Meiring, Sophie Achard
Clustering-Based Inter-Regional Correlation Estimation
Computational Statistics and Data Analysis, In press, pp.1-32
Article dans une revue
Théo Moins, Julyan Arbel, Stéphane Girard, Anne Dutfoy
Reparameterization of extreme value framework for improved Bayesian workflow
Computational Statistics and Data Analysis, 2023, 187, pp.1-21. ⟨10.1016/j.csda.2023.107807⟩
Article dans une revue
Sophie Achard, Jean-François Coeurjolly, Pierre Lafaye de Micheaux, Hanâ Lbath, Jonas Richiardi
Inter-regional correlation estimators for functional magnetic resonance imaging
NeuroImage, 2023, 282, pp.120388. ⟨10.1016/j.neuroimage.2023.120388⟩