Pierre Glaser

14 papers A* 5A 1Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
(De)-regularized Maximum Mean Discrepancy Gradient Flow.
J. Mach. Learn. Res.
Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur
2025 A* conf
Efficiently Vectorized MCMC on Modern Accelerators.
ICML
Hugh Dance, Pierre Glaser, Peter Orbanz, Ryan P. Adams
2025 J jnl
Efficiently Vectorized MCMC on Modern Accelerators.
CoRR
Hugh Dance, Pierre Glaser, Peter Orbanz, Ryan P. Adams
2025 J jnl
Fast and Scalable Score-Based Kernel Calibration Tests.
CoRR
Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton
2025 J jnl
Kernel-Based Evaluation of Conditional Biological Sequence Models.
CoRR
Pierre Glaser, Steffanie Paul, Alissa M. Hummer, Charlotte M. Deane, Debora S. Marks, Alan Nawzad Amin
2025 J jnl
Near-Optimality of Contrastive Divergence Algorithms.
CoRR
Pierre Glaser, Kevin Han Huang, Arthur Gretton
2025 A* conf
SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour.
ICLR
Tom M. George, Pierre Glaser, Kim Stachenfeld, Caswell Barry, Claudia Clopath
2024 J jnl
(De)-regularized Maximum Mean Discrepancy Gradient Flow.
CoRR
Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur
2024 A* conf
Kernel-Based Evaluation of Conditional Biological Sequence Models.
ICML
Pierre Glaser, Steffanie Paul, Alissa M. Hummer, Charlotte M. Deane, Debora Susan Marks, Alan Nawzad Amin
2024 A* conf
Near-Optimality of Contrastive Divergence Algorithms.
NeurIPS
Pierre Glaser, Kevin Han Huang, Arthur Gretton
2023 A conf
Fast and scalable score-based kernel calibration tests.
UAI
Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton
2022 J jnl
Maximum Likelihood Learning of Energy-Based Models for Simulation-Based Inference.
CoRR
Pierre Glaser, Michael Arbel, Arnaud Doucet, Arthur Gretton
2021 A* conf
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support.
NeurIPS
Pierre Glaser, Michael Arbel, Arthur Gretton
2021 J jnl
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support.
CoRR
Pierre Glaser, Michael Arbel, Arthur Gretton