| 2025 | COLT | Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization. | Yu-Han Wu, Pierre Marion, Grard Biau, Claire Boyer |
| 2025 | ICLR | Attention layers provably solve single-location regression. | Pierre Marion, Raphal Berthier, Grard Biau, Claire Boyer |
| 2024 | COLT | Physics-informed machine learning as a kernel method. | Nathan Doumche, Francis R. Bach, Grard Biau, Claire Boyer |
| 2024 | ICLR | Implicit regularization of deep residual networks towards neural ODEs. | Pierre Marion, Yu-Han Wu, Michael Eli Sander, Grard Biau |
| 2022 | AISTATS | SHAFF: Fast and consistent SHApley eFfect estimates via random Forests. | Clment Bnard, Grard Biau, Sbastien Da Veiga, Erwan Scornet |
| 2021 | AISTATS | Interpretable Random Forests via Rule Extraction. | Clment Bnard, Grard Biau, Sbastien Da Veiga, Erwan Scornet |
| 2021 | AISTATS | Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects. | Qiming Du, Grard Biau, Franois Petit, Raphal Porcher |
| 2021 | AISTATS | Approximating Lipschitz continuous functions with GroupSort neural networks. | Ugo Tanielian, Grard Biau |
| 2014 | ALT | Cellular Tree Classifiers. | Grard Biau, Luc Devroye |
| 2012 | ISIT | An affine invariant k-nearest neighbor regression estimate. | Grard Biau, Adam Krzyzak, Luc Devroye, Vida Dujmovic |
| 2007 | ISMB | Supervised reconstruction of biological networks with local models. | Kevin Bleakley, Grard Biau, Jean-Philippe Vert |