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2020 – today
- 2024
[i8]Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, Thierry Giaccone:
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification. CoRR abs/2404.08476 (2024)- [i7]Virgile Foy, Fabrice Gamboa, Reda Chhaibi:
Statistical Edge Detection And UDF Learning For Shape Representation. CoRR abs/2405.03381 (2024) - [i6]Reda Chhaibi, Fabrice Gamboa, Christophe Oger, Vinicius Oliveira, Clément Pellegrini, Damien Remot:
Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits. CoRR abs/2405.07971 (2024) - [i5]Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge Gratton, Thierry Giaccone:
Large Margin Discriminative Loss for Classification. CoRR abs/2405.18499 (2024) - 2023
- [i4]Pierre Botteron
, Anne Broadbent, Reda Chhaibi, Ion Nechita, Clément Pellegrini:
Algebra of Nonlocal Boxes and the Collapse of Communication Complexity. CoRR abs/2312.00725 (2023) - 2022
- [c1]Reda Chhaibi, Tariq Daouda, Ezechiel Kahn:
Free Probability for predicting the performance of feed-forward fully connected neural networks. NeurIPS 2022 - [i3]Cédric Bernardin, Reda Chhaibi, Joseph Najnudel, Clément Pellegrini:
To spike or not to spike: the whims of the Wonham filter in the strong noise regime. CoRR abs/2211.02032 (2022) - 2021
- [i2]Reda Chhaibi, Tariq Daouda, Ezechiel Kahn:
Free Probability, Newton lilypads and Jacobians of neural networks. CoRR abs/2111.00841 (2021) - 2020
- [i1]Tariq Daouda, Reda Chhaibi, Prudencio Tossou, Alexandra-Chloé Villani:
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions. CoRR abs/2005.07852 (2020)
Coauthor Index
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