Karim Lounici

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 19

Top Topics

Dynamical Systems

Top Venues

Publications

Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil
Learning invariant representations of time-homogeneous stochastic dynamical systems. ICLR (2024)
Théo Gnassounou, Antoine Collas, Rémi Flamary, Karim Lounici, Alexandre Gramfort
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment. CoRR (2024)
Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Pietro Novelli, Giacomo Turri, Massimiliano Pontil
Neural Conditional Probability for Inference. CoRR (2024)
Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothee Devergne, Massimiliano Pontil
Learning the Infinitesimal Generator of Stochastic Diffusion Processes. CoRR (2024)
Arya Akhavan, Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov
Contextual Continuum Bandits: Static Versus Dynamic Regret. CoRR (2024)
Grégoire Pacreau, Karim Lounici
Robust covariance estimation with missing values and cell-wise contamination. NeurIPS (2023)
Leonardo Cella, Karim Lounici, Grégoire Pacreau, Massimiliano Pontil
Multi-task Representation Learning with Stochastic Linear Bandits. AISTATS (2023)
Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
Koopman Operator Learning: Sharp Spectral Rates and Spurious Eigenvalues. CoRR (2023)
Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil
Deep projection networks for learning time-homogeneous dynamical systems. CoRR (2023)
Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
Sharp Spectral Rates for Koopman Operator Learning. NeurIPS (2023)
Prune Inzerilli, Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
Consistent Long-Term Forecasting of Ergodic Dynamical Systems. CoRR (2023)
Leonardo Cella, Karim Lounici, Massimiliano Pontil
Meta Representation Learning with Contextual Linear Bandits. CoRR (2022)
Katia Meziani, Karim Lounici, Benjamin Riu
AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks. CoRR (2022)
Leonardo Cella, Karim Lounici, Massimiliano Pontil
Multi-task Representation Learning with Stochastic Linear Bandits. CoRR (2022)
Karim Lounici, Katia Meziani, Benjamin Riu
Muddling Labels for Regularization, a novel approach to generalization. CoRR (2021)
Karim Lounici, Katia Meziani, Benjamin Riu
Muddling Label Regularization: Deep Learning for Tabular Datasets. CoRR (2021)
Karim Lounici, Katia Meziani, Benjamin Riu
Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously. CoRR (2020)
Rémi Flamary, Karim Lounici, André Ferrari
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. CoRR (2019)
Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret
Large scale Lasso with windowed active set for convolutional spike sorting. CoRR (2019)
Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov, Sara A. van de Geer
Taking Advantage of Sparsity in Multi-Task Learning. COLT (2009)