Publications Récentes
Article dans une revue
Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks
IEEE Transactions on Neural Networks and Learning Systems, 2022, 33 (12), pp.7251-7265. ⟨10.1109/TNNLS.2021.3084682⟩
Article dans une revue
I.I. Lobanova, Stéphane Despréaux, Stéphane Labbé, Carola Celada-Casero, Frenk van den Berg
Micromagnetic modelling of magnetostriction under uniaxial stress
Journal of Magnetism and Magnetic Materials, 2022, 564, pp.170028. ⟨10.1016/j.jmmm.2022.170028⟩
Pré-publication, Document de travail
Ricardo Baptista, Youssef Marzouk, Olivier Zahm
Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective
2022
Communication dans un congrès
Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation
NeurIPS 2022 - 36th International Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States
Communication dans un congrès
Julia Linhart, Alexandre Gramfort, Pedro Luiz Coelho Rodrigues
Validation Diagnostics for SBI algorithms based on Normalizing Flows
NeurIPS 2022 - the 36th conference on Neural Information Processing Systems - Machine Learning and the Physical Sciences workshop, Nov 2022, New Orleans, United States. pp.1-7
Communication dans un congrès
Michael Arbel, Julien Mairal
Non-Convex Bilevel Games with Critical Point Selection Maps
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States. pp.1-34, ⟨10.48550/arXiv.2207.04888⟩
Pré-publication, Document de travail
Predrag Pilipovic, Adeline Samson, Susanne Ditlevsen
Parameter Estimation in Nonlinear Multivariate Stochastic Differential Equations based on Splitting Schemes
2022
Pré-publication, Document de travail
Felix Miranda-Villatoro
Robust synchronization via maximal monotone couplings
2022
Pré-publication, Document de travail
Pierre Glaser, Michael Arbel, Arnaud Doucet, Arthur Gretton
Maximum Likelihood Learning of Energy-Based Models for Simulation-Based Inference
2022
Thèse
Simon Clement
Analyse numérique pour la réconciliation en espace et en temps des discrétisations des échanges air-mer et de leur paramétrisation
Numerical Analysis [math.NA]. Université Grenoble Alpes, 2022. English. ⟨NNT : ⟩
Article dans une revue
Anatoli B. Juditsky, Andrei Kulunchakov, Hlib Tsyntseus
Sparse recovery by reduced variance stochastic approximation
Information and Inference, 2022, ⟨10.1093/imaiai/iaac028⟩
Thèse
Boyao Zhou
Inférer une représentation dense de l'humain avec un nuage de points épars ou incomplet
Computer Vision and Pattern Recognition [cs.CV]. UGA - Université Grenoble Alpes, 2022. English. ⟨NNT : ⟩
Pré-publication, Document de travail
Brigitte Bidégaray-Fesquet, Nacim Meslem, Fairouz Zobiri
Event-triggered Controllers using Contraction Analysis
2022
Communication dans un congrès
Jules Bourcier, Thomas Floquet, Gohar Dashyan, Tugdual Ceillier, Karteek Alahari, Jocelyn Chanussot
Préentraînement auto-supervisé sur imagerie satellite : un cas d'étude sur la détection de véhicules efficiente en annotation
Conference on Artificial Intelligence for Defense, DGA Maîtrise de l'Information, Nov 2022, Rennes, France
Article dans une revue
Hugo Le Boulzec, Louis Delannoy, Baptiste Andrieu, François Verzier, Olivier Vidal, Sandrine Mathy
Dynamic modeling of global fossil fuel infrastructure and materials needs: Overcoming a lack of available data
Applied Energy, 2022, 326, ⟨10.1016/j.apenergy.2022.119871⟩
Pré-publication, Document de travail
Anestis Antoniadis, Solenne Gaucher, Yannig Goude
Hierarchical transfer learning with applications for electricity load forecasting.
2022
Pré-publication, Document de travail
Waïss Azizian, Franck Iutzeler, Jérôme Malick
Regularization for Wasserstein Distributionally Robust Optimization
2022
Communication dans un congrès
Jean Basset, Badr Ouannas, Ludovic Hoyet, Franck Multon, Stefanie Wuhrer
Impact of Self-Contacts on Perceived Pose Equivalences
MIG 2022 - ACM SIGGRAPH Conference on Motion, Interaction and Games, Nov 2022, Guanajuato Mexico, Mexico. pp.1-10, ⟨10.1145/3561975.3562946⟩
Article dans une revue
E. Roger, Lilian Rodrigues de Almeida, Hélène Loevenbruck, Marcela Perrone-Bertolotti, Emilie Cousin, Jean-Luc Schwartz, Pascal Perrier, Marion Dohen, Anne Vilain, Pierre Baraduc, Sophie Achard, Monica Baciu
Unraveling the functional attributes of the language connectome: crucial subnetworks, flexibility and variability
NeuroImage, 2022, 263, pp.119672. ⟨10.1016/j.neuroimage.2022.119672⟩
Pré-publication, Document de travail
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
On the rate of convergence of Bregman proximal methods in constrained variational inequalities
2022
Article dans une revue
Jet Hoe Tang, Romain Brossier, Ludovic Métivier
Fully scalable solver for frequency-domain visco-elastic wave equations in 3D heterogeneous media: A controllability approach
Journal of Computational Physics, 2022, 468, pp.111514. ⟨10.1016/j.jcp.2022.111514⟩
Article dans une revue
Abhishek Chatterjee, Guillaume James, Bernard Brogliato
Approximate coefficient of restitution for nonlinear viscoelastic contact with external load
Granular Matter, 2022, 24 (4), pp.124. ⟨10.1007/s10035-022-01284-w⟩
Article dans une revue
Laurent Debreu, Nicholas Kevlahan, Patrick Marchesiello
Improved Gulf Stream separation through Brinkman penalization
Ocean Modelling, 2022, 179, pp.102121. ⟨10.1016/j.ocemod.2022.102121⟩
Article dans une revue
Eric Bonnetier, Charles Dapogny, Michael Vogelius
Small perturbations in the type of boundary conditions for an elliptic operator
Journal de Mathématiques Pures et Appliquées, 2022, 167, pp.101-174. ⟨10.1016/j.matpur.2022.09.003⟩
Article dans une revue
Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing
IEEE Transactions on Neural Networks and Learning Systems, 2022, 33 (11), pp.6518-6531. ⟨10.1109/TNNLS.2021.3082289⟩
Communication dans un congrès
David Jourdan, Victor Romero, Etienne Vouga, Adrien Bousseau, Mélina Skouras
Simulation of printed-on-fabric assemblies
SCF 2022 - 7th annual ACM Symposium on Computational Fabrication, Oct 2022, Seattle, United States. pp.1-11, ⟨10.1145/3559400.3562001⟩
Pré-publication, Document de travail
Pierre Gaillard, Aadirupa Saha, Soham Dan
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits
2023
Communication dans un congrès
Florence Forbes
Online Majorization Minimization algorithms
CIRM Workshop on Computational Methods for Unifying Multiple Statistical Analyses (Fusion), Oct 2022, Luminy, France
Pré-publication, Document de travail
Yannis Bekri, Sasila Ilandarideva, Anatoli B. Juditsky, Vianney Perchet
Stochastic Mirror Descent for Large-Scale Sparse Recovery
2022
Communication dans un congrès
Trungtin Nguyen, Florence Forbes, Julyan Arbel
Bayesian nonparametric mixture of experts for high-dimensional inverse problems
BNP13 - 13th International Conference on Bayesian Nonparametrics, Oct 2022, Puerto Varas, Chile