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Pierre Glaser
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2020 – today
- 2024
- [c3]Pierre Glaser, Steffanie Paul, Alissa M. Hummer, Charlotte M. Deane, Debora Susan Marks, Alan Nawzad Amin:
Kernel-Based Evaluation of Conditional Biological Sequence Models. ICML 2024 - [i3]Zonghao Chen, Aratrika Mustafi, Pierre Glaser, Anna Korba, Arthur Gretton, Bharath K. Sriperumbudur:
(De)-regularized Maximum Mean Discrepancy Gradient Flow. CoRR abs/2409.14980 (2024) - 2023
- [c2]Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton:
Fast and scalable score-based kernel calibration tests. UAI 2023: 691-700 - [d1]Nilearn Contributors, Ahmad Chamma, Aina Frau-Pascual, Alex Rothberg, Alexandre Abadie, Alexandre Abraham, Alexandre Gramfort, Alexandre Savio, Alexandre Cionca, Alexis Thual, Alisha Kodibagkar, Amadeus Kanaan, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Sylvain Lan, Sylvain Takerkart, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera:
nilearn. Zenodo, 2023 - 2022
- [i2]Pierre Glaser, Michael Arbel, Arnaud Doucet, Arthur Gretton:
Maximum Likelihood Learning of Energy-Based Models for Simulation-Based Inference. CoRR abs/2210.14756 (2022) - 2021
- [c1]Pierre Glaser, Michael Arbel, Arthur Gretton:
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support. NeurIPS 2021: 8018-8031 - [i1]Pierre Glaser, Michael Arbel, Arthur Gretton:
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support. CoRR abs/2106.08929 (2021)
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last updated on 2024-12-03 20:27 CET by the dblp team
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