Karim Lounici

École Polytechnique — France

Mathematics · Physical Sciences

13h-index1.9kcitations65works0.22yr avg
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Research Topics

Statistical Methods and Inference(24), Sparse and Compressive Sensing Techniques(14), Random Matrices and Applications(6), Advanced Bandit Algorithms Research(6), Stochastic processes and financial applications(5)

Publications65 total

kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning
arXiv (Cornell University)·2025Open Access
kooplearn: A Scikit-Learn Compatible Library of Algorithms for Evolution Operator Learning
ArXiv.org·2025Open Access
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
arXiv (Cornell University)·2025Open Access
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
ArXiv.org·2025Open Access
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
arXiv (Cornell University)·2025Open Access
AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
ArXiv.org·2025Open Access
Meta Representation Learning with Contextual Linear Bandits
Statistical Science·2025
Equivariant Representation Learning for Symmetry-Aware Inference with Guarantees
arXiv (Cornell University)·2025Open Access
CoHiRF: Hierarchical Consensus for Interpretable Clustering Beyond Scalability Limits
ArXiv.org·2025Open Access
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
arXiv (Cornell University)·2024Open Access
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
arXiv (Cornell University)·2024· 1 citedOpen Access
Neural Conditional Probability for Uncertainty Quantification
arXiv (Cornell University)·2024Open Access
A conversion theorem and minimax optimality for continuum contextual bandits
arXiv (Cornell University)·2024Open Access
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
arXiv (Cornell University)·2024· 1 citedOpen Access
Neural Conditional Probability for Uncertainty Quantification
2024· 1 cited
Consistent Long-Term Forecasting of Ergodic Dynamical Systems
arXiv (Cornell University)·2023Open Access
Learning invariant representations of time-homogeneous stochastic dynamical systems
arXiv (Cornell University)·2023· 1 citedOpen Access
Robust covariance estimation with missing values and cell-wise contamination
arXiv (Cornell University)·2023· 2 citedOpen Access
Sharp Spectral Rates for Koopman Operator Learning
arXiv (Cornell University)·2023· 4 citedOpen Access
High Dimensional Probability IX
Progress in probability·2023· 4 citedOpen Access
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Frequent Co-authors

Massimiliano Pontil(15), Vladimir Koltchinskii(10), Katia Méziani(7), Alexandre B. Tsybakov(5), Pietro Novelli(5), Vladimir R. Kostic(4), Benjamin Riu(4), Grégoire Pacreau(4), Sara van de Geer(3), Rémi Flamary(3), Leonardo Cella(3), Ery Arias-Castro(2), Nathaël Gozlan(2), Mokshay Madiman(2), Gabriel Peyré(2), Giacomo Turri(2), Hélène Halconruy(2), Timothée Devergne(2), Alek Fröhlich(2), Vladimir Kostić(2)