2024

Under review

  1. Linear Quadratic Control of Nonlinear Systems with Koopman Operator Learning and the Nyström Method Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Cesare Molinari, Carlos Ocampo-Martinez, Carme Torras, and Lorenzo Rosasco 5 March 2024 Paper Abstract Paper (mirror)

2023

Under review

  1. Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic, Nicolas Schreuder, Ernesto De Vito, and Lorenzo Rosasco 22 November 2023 Paper Abstract Paper (mirror)

Conference Articles

  1. Estimating Koopman Operators with Sketching to Provably Learn Large Scale Dynamical Systems Giacomo Meanti, Antoine Chatalic, V. Kostić, P. Novelli, M. Pontil, and L. Rosasco In NeurIPS 2023, 7 June 2023 Paper Abstract Paper (mirror)
  2. Heteroscedastic Gaussian Processes and Random Features : Scalable Motion Primitives with Guarantees Edoardo Caldarelli, Antoine Chatalic, Adrià Colomé, Lorenzo Rosasco, and Carme Torras In 7th Annual Conference on Robot Learning , 30 August 2023 Paper Abstract Paper (mirror)

2022

Conference Articles

  1. Mean Nyström Embeddings for Adaptive Compressive Learning Antoine Chatalic, Luigi Carratino, Ernesto De Vito, and Lorenzo Rosasco In Proceedings of The 25th International Conference on Artificial Intelligence and Statistics , 3 May 2022 Paper Abstract Paper (mirror)
  2. Nyström Kernel Mean Embeddings Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, and Alessandro Rudi In Proceedings of the 39th International Conference on Machine Learning , 17 July 2022 Paper Abstract Poster Paper (mirror)
  3. M2M : A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, and Yves-Alexandre Montjoye In 18th International Workshop on Security and Trust Management ( STM 2022), 25 November 2022 Paper Abstract Paper (mirror)

2021

Journal Articles

  1. Sketching Data Sets for Large-Scale Learning : Keeping Only What You Need Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, and Philip Schniter IEEE Signal Processing Magazine, 1 September 2021 Paper Abstract
  2. Compressive Learning with Privacy Guarantees Antoine Chatalic, Vincent Schellekens, Florimond Houssiau, Yves-Alexandre De Montjoye, Laurent Jacques, and Rémi Gribonval Information and Inference: A Journal of the IMA, 15 May 2021 Paper Abstract HAL

2020

Conference Articles

  1. Learning to Sketch for Compressive Clustering Antoine Chatalic, and Rémi Gribonval In International Traveling Workshop on Interactions between Low-Complexity Data Models and Sensing Techniques ( iTWIST ), 1 June 2020 Paper Abstract Slides

Theses

  1. Efficient and Privacy-Preserving Compressive Learning Antoine Chatalic Université de Rennes 1 19 November 2020 Paper Slides Paper (mirror)

2019

Conference Articles

  1. Projections aléatoires pour l’apprentissage compressif Antoine Chatalic, Nicolas Keriven, and Rémi Gribonval In Gretsi, 26 August 2019 Paper Abstract HAL
  2. Differentially Private Compressive K- Means Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre De Montjoye, Laurent Jacques, and Rémi Gribonval In 44th International Conference on Acoustics , Speech , and Signal Processing ( ICASSP ), 1 May 2019 Paper Abstract HAL
  3. Compressive K- Means with Differential Privacy Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre Montjoye, Laurent Jacques, and Rémi Gribonval In SPARS Workshop, 1 July 2019 Paper Poster HAL

Journal Articles

  1. Sketched Clustering via Hybrid Approximate Message Passing Evan Byrne, Antoine Chatalic, Rémi Gribonval, and Philip Schniter IEEE Transactions on Signal Processing, 1 September 2019 Paper Abstract Paper (mirror)

2018

Conference Articles

  1. Large- Scale High-Dimensional Clustering with Fast Sketching Antoine Chatalic, Rémi Gribonval, and Nicolas Keriven In IEEE International Conference on Acoustics , Speech and Signal Processing ( ICASSP ), 1 January 2018 Paper Poster HAL