Furtlehner, Cyril

7 publications

ICML 2025 A Theoretical Framework for Overfitting in Energy-Based Modeling Giovanni Catania, Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane

ICLR 2025 ANaGRAM: A Natural Gradient Relative to Adapted Model for Efficient PINNs Learning Nilo Schwencke, Cyril Furtlehner

ICLR 2025 Fast Training and Sampling of Restricted Boltzmann Machines Nicolas Bereux, Aurélien Decelle, Cyril Furtlehner, Lorenzo Rosset, Beatriz Seoane

NeurIPS 2021 Equilibrium and Non-Equilibrium Regimes in the Learning of Restricted Boltzmann Machines Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane

ICLR 2020 Dynamic Time Lag Regression: Predicting What & When Mandar Chandorkar, Cyril Furtlehner, Bala Poduval, Enrico Camporeale, Michele Sebag

ECML-PKDD 2014 GMRF Estimation Under Topological and Spectral Constraints Victorin Martin, Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes

ECML-PKDD 2008 Data Streaming with Affinity Propagation Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag