Baskiotis, Nicolas

7 publications

ICLRW 2024 AutoBasisEncoder: Pre-Trained Neural Field Basis via Autoencoding for Operator Learning Thomas X Wang, Nicolas Baskiotis, Patrick Gallinari

TMLR 2024 Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations Etienne Le Naour, Louis Serrano, Léon Migus, Yuan Yin, Ghislain Agoua, Nicolas Baskiotis, Patrick Gallinari, Vincent Guigue

ICML 2022 Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer, Yuan Yin, Jeremie Dona, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari

NeurIPS 2021 LEADS: Learning Dynamical Systems That Generalize Across Environments Yuan Yin, Ibrahim Ayed, Emmanuel de Bézenac, Nicolas Baskiotis, Patrick Gallinari

NeurIPS 2010 Link Discovery Using Graph Feature Tracking Emile Richard, Nicolas Baskiotis, Theodoros Evgeniou, Nicolas Vayatis

IJCAI 2007 A Machine Learning Approach for Statistical Software Testing Nicolas Baskiotis, Michèle Sebag, Marie-Claude Gaudel, Sandrine-Dominique Gouraud

ICML 2004 C4.5 Competence mAP: A Phase Transition-Inspired Approach Nicolas Baskiotis, Michèle Sebag