Antoine Chatalic

20 papers A* 2A 1Misc 3Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Efficient Permutation-Based Kernel Two-Sample Test. CoRR Antoine Chatalic, Marco Letizia, Nicolas Schreuder, Lorenzo Rosasco
2025	J	`jnl`	Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. J. Mach. Learn. Res. Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
2025	J	`jnl`	Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method. Autom. Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Cesare Molinari, Carlos Ocampo-Martinez, Carme Torras, Lorenzo Rosasco
2024	J	`jnl`	Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method. CoRR Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Cesare Molinari, Carlos Ocampo-Martinez, Carme Torras, Lorenzo Rosasco
2023	J	`jnl`	Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling. CoRR Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, Lorenzo Rosasco
2023	A*	`conf`	Estimating Koopman operators with sketching to provably learn large scale dynamical systems. NeurIPS Giacomo Meanti, Antoine Chatalic, Vladimir Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
2023	J	`jnl`	Estimating Koopman operators with sketching to provably learn large scale dynamical systems. CoRR Giacomo Meanti, Antoine Chatalic, Vladimir R. Kostic, Pietro Novelli, Massimiliano Pontil, Lorenzo Rosasco
2023	Misc	`conf`	Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees. CoRL Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Lorenzo Rosasco, Carme Torras
2022	—	`conf`	M STM Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye
2022	J	`jnl`	M CoRR Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye
2022	A	`conf`	Mean Nyström Embeddings for Adaptive Compressive Learning. AISTATS Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
2022	A*	`conf`	Nyström Kernel Mean Embeddings. ICML Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi
2022	J	`jnl`	Nyström Kernel Mean Embeddings. CoRR Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi, Lorenzo Rosasco
2021	J	`jnl`	Mean Nyström Embeddings for Adaptive Compressive Learning. CoRR Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
2021	J	`jnl`	Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Process. Mag. Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
2020	—	`—`	Efficient and Privacy-Preserving Compressive Learning. (Méthodes efficaces pour l'apprentissage compressif avec garanties de confidentialité). Antoine Chatalic
2020	J	`jnl`	Sketching Datasets for Large-Scale Learning (long version). CoRR Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
2019	Misc	`conf`	Differentially Private Compressive K-means. ICASSP Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval
2019	J	`jnl`	Sketched Clustering via Hybrid Approximate Message Passing. IEEE Trans. Signal Process. Evan Byrne, Antoine Chatalic, Rémi Gribonval, Philip Schniter
2018	Misc	`conf`	Large-Scale High-Dimensional Clustering with Fast Sketching. ICASSP Antoine Chatalic, Rémi Gribonval, Nicolas Keriven