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Karim Lounici
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2020 – today
- 2024
- [c6]Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil:
Learning invariant representations of time-homogeneous stochastic dynamical systems. ICLR 2024 - [c5]Vladimir R. Kostic, Karim Lounici, Prune Inzerilli, Pietro Novelli, Massimiliano Pontil:
Consistent Long-Term Forecasting of Ergodic Dynamical Systems. ICML 2024 - [i16]Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothee Devergne, Massimiliano Pontil:
Learning the Infinitesimal Generator of Stochastic Diffusion Processes. CoRR abs/2405.12940 (2024) - [i15]Arya Akhavan, Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov:
Contextual Continuum Bandits: Static Versus Dynamic Regret. CoRR abs/2406.05714 (2024) - [i14]Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Pietro Novelli, Giacomo Turri, Massimiliano Pontil:
Neural Conditional Probability for Inference. CoRR abs/2407.01171 (2024) - [i13]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 abs/2407.14303 (2024) - [i12]Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothee Devergne, Pietro Novelli, Massimiliano Pontil:
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. CoRR abs/2410.14477 (2024) - 2023
- [c4]Leonardo Cella, Karim Lounici, Grégoire Pacreau, Massimiliano Pontil:
Multi-task Representation Learning with Stochastic Linear Bandits. AISTATS 2023: 4822-4847 - [c3]Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil:
Sharp Spectral Rates for Koopman Operator Learning. NeurIPS 2023 - [c2]Grégoire Pacreau, Karim Lounici:
Robust covariance estimation with missing values and cell-wise contamination. NeurIPS 2023 - [i11]Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil:
Koopman Operator Learning: Sharp Spectral Rates and Spurious Eigenvalues. CoRR abs/2302.02004 (2023) - [i10]Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil:
Deep projection networks for learning time-homogeneous dynamical systems. CoRR abs/2307.09912 (2023) - [i9]Prune Inzerilli, Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil:
Consistent Long-Term Forecasting of Ergodic Dynamical Systems. CoRR abs/2312.13426 (2023) - 2022
- [i8]Leonardo Cella, Karim Lounici, Massimiliano Pontil:
Multi-task Representation Learning with Stochastic Linear Bandits. CoRR abs/2202.10066 (2022) - [i7]Katia Meziani, Karim Lounici, Benjamin Riu:
AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks. CoRR abs/2205.07860 (2022) - [i6]Leonardo Cella, Karim Lounici, Massimiliano Pontil:
Meta Representation Learning with Contextual Linear Bandits. CoRR abs/2205.15100 (2022) - 2021
- [i5]Karim Lounici, Katia Meziani, Benjamin Riu:
Muddling Labels for Regularization, a novel approach to generalization. CoRR abs/2102.08769 (2021) - [i4]Karim Lounici, Katia Meziani, Benjamin Riu:
Muddling Label Regularization: Deep Learning for Tabular Datasets. CoRR abs/2106.04462 (2021) - 2020
- [i3]Karim Lounici, Katia Meziani, Benjamin Riu:
Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously. CoRR abs/2006.06705 (2020)
2010 – 2019
- 2019
- [i2]Rémi Flamary, Karim Lounici, André Ferrari:
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. CoRR abs/1905.10155 (2019) - [i1]Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret:
Large scale Lasso with windowed active set for convolutional spike sorting. CoRR abs/1906.12077 (2019)
2000 – 2009
- 2009
- [c1]Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov, Sara A. van de Geer:
Taking Advantage of Sparsity in Multi-Task Learning. COLT 2009
Coauthor Index
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