Glaser, Pierre

7 publications

JMLR 2025 (De)-Regularized Maximum Mean Discrepancy Gradient Flow Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur

ICML 2025 Efficiently Vectorized MCMC on Modern Accelerators Hugh Dance, Pierre Glaser, Peter Orbanz, Ryan P Adams

ICLR 2025 SIMPL: Scalable and Hassle-Free Optimisation of Neural Representations from Behaviour Tom George, Pierre Glaser, Kim Stachenfeld, Caswell Barry, Claudia Clopath

ICML 2024 Kernel-Based Evaluation of Conditional Biological Sequence Models Pierre Glaser, Steffanie Paul, Alissa M Hummer, Charlotte Deane, Debora Susan Marks, Alan Nawzad Amin

NeurIPS 2024 Near-Optimality of Contrastive Divergence Algorithms Pierre Glaser, Kevin Han Huang, Arthur Gretton

UAI 2023 Fast and Scalable Score-Based Kernel Calibration Tests Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton

NeurIPS 2021 KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser, Michael Arbel, Arthur Gretton