Karim Lounici - RankMe

34 papers A* 8A 1Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toeplitz Based Spectral Methods for Data-driven Dynamical Systems. CoRR Vladimir R. Kostic, Karim Lounici, Massimiliano Pontil
2026	J	`jnl`	VertCoHiRF: Decentralized Vertical Clustering Beyond k-means. CoRR Bruno Belucci, Karim Lounici, Vladimir R. Kostic, Katia Meziani
2025	J	`jnl`	A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems. CoRR Thibaut Germain, Rémi Flamary, Vladimir R. Kostic, Karim Lounici
2025	J	`jnl`	AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks. CoRR Bruno Belucci, Karim Lounici, Katia Meziani
2025	J	`jnl`	CoHiRF: A Scalable and Interpretable Clustering Framework for High-Dimensional Data. CoRR Bruno Belucci, Karim Lounici, Katia Meziani
2025	J	`jnl`	Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees. CoRR Daniel Felipe Ordoñez Apraez, Vladimir Kostic, Alek Fröhlich, Vivien Brandt, Karim Lounici, Massimiliano Pontil
2025	A*	`conf`	Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. ICML Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Pietro Novelli, Massimiliano Pontil
2025	J	`jnl`	Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression. CoRR Dimitri Meunier, Jakub Wornbard, Vladimir R. Kostic, Antoine Moulin, Alek Fröhlich, Karim Lounici, Massimiliano Pontil, Arthur Gretton
2025	J	`jnl`	Toward Scalable and Valid Conditional Independence Testing with Spectral Representations. CoRR Alek Fröhlich, Vladimir Kostic, Karim Lounici, Daniel Perazzo, Massimiliano Pontil
2025	J	`jnl`	kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning. CoRR Giacomo Turri, Grégoire Pacreau, Giacomo Meanti, Timothée Devergne, Daniel Ordonez, Erfan Mirzaei, Bruno Belucci, Karim Lounici, Vladimir Kostic, Massimiliano Pontil, Pietro Novelli
2024	A*	`conf`	Consistent Long-Term Forecasting of Ergodic Dynamical Systems. ICML Vladimir R. Kostic, Karim Lounici, Prune Inzerilli, Pietro Novelli, Massimiliano Pontil
2024	J	`jnl`	Contextual Continuum Bandits: Static Versus Dynamic Regret. CoRR Arya Akhavan, Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov
2024	J	`jnl`	Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups. CoRR Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothee Devergne, Pietro Novelli, Massimiliano Pontil
2024	A*	`conf`	Learning invariant representations of time-homogeneous stochastic dynamical systems. ICLR Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil
2024	A*	`conf`	Learning the Infinitesimal Generator of Stochastic Diffusion Processes. NeurIPS Vladimir Kostic, Hélène Halconruy, Timothée Devergne, Karim Lounici, Massimiliano Pontil
2024	J	`jnl`	Learning the Infinitesimal Generator of Stochastic Diffusion Processes. CoRR Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothee Devergne, Massimiliano Pontil
2024	J	`jnl`	Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment. CoRR Théo Gnassounou, Antoine Collas, Rémi Flamary, Karim Lounici, Alexandre Gramfort
2024	J	`jnl`	Neural Conditional Probability for Inference. CoRR Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Pietro Novelli, Giacomo Turri, Massimiliano Pontil
2024	A*	`conf`	Neural Conditional Probability for Uncertainty Quantification. NeurIPS Vladimir Kostic, Grégoire Pacreau, Giacomo Turri, Pietro Novelli, Karim Lounici, Massimiliano Pontil
2023	J	`jnl`	Consistent Long-Term Forecasting of Ergodic Dynamical Systems. CoRR Prune Inzerilli, Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
2023	J	`jnl`	Deep projection networks for learning time-homogeneous dynamical systems. CoRR Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil
2023	J	`jnl`	Koopman Operator Learning: Sharp Spectral Rates and Spurious Eigenvalues. CoRR Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
2023	A	`conf`	Multi-task Representation Learning with Stochastic Linear Bandits. AISTATS Leonardo Cella, Karim Lounici, Grégoire Pacreau, Massimiliano Pontil
2023	A*	`conf`	Robust covariance estimation with missing values and cell-wise contamination. NeurIPS Grégoire Pacreau, Karim Lounici
2023	A*	`conf`	Sharp Spectral Rates for Koopman Operator Learning. NeurIPS Vladimir Kostic, Karim Lounici, Pietro Novelli, Massimiliano Pontil
2022	J	`jnl`	AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks. CoRR Katia Meziani, Karim Lounici, Benjamin Riu
2022	J	`jnl`	Meta Representation Learning with Contextual Linear Bandits. CoRR Leonardo Cella, Karim Lounici, Massimiliano Pontil
2022	J	`jnl`	Multi-task Representation Learning with Stochastic Linear Bandits. CoRR Leonardo Cella, Karim Lounici, Massimiliano Pontil
2021	J	`jnl`	Muddling Label Regularization: Deep Learning for Tabular Datasets. CoRR Karim Lounici, Katia Meziani, Benjamin Riu
2021	J	`jnl`	Muddling Labels for Regularization, a novel approach to generalization. CoRR Karim Lounici, Katia Meziani, Benjamin Riu
2020	J	`jnl`	Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously. CoRR Karim Lounici, Katia Meziani, Benjamin Riu
2019	J	`jnl`	Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. CoRR Rémi Flamary, Karim Lounici, André Ferrari
2019	J	`jnl`	Large scale Lasso with windowed active set for convolutional spike sorting. CoRR Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret
2009	A*	`conf`	Taking Advantage of Sparsity in Multi-Task Learning. COLT Karim Lounici, Massimiliano Pontil, Alexandre B. Tsybakov, Sara A. van de Geer