Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions. - Tariq Daouda; Reda Chhaibi; Prudencio Tossou; Alexandra-Chloé Villani (CoRR, 2020)

Free Probability, Newton lilypads and Jacobians of neural networks. - Reda Chhaibi; Tariq Daouda; Ezechiel Kahn (CoRR, 2021)

Free Probability for predicting the performance of feed-forward fully connected neural networks. - Reda Chhaibi; Tariq Daouda; Ezechiel Kahn (NeurIPS, 2022)

To spike or not to spike: the whims of the Wonham filter in the strong noise regime. - Cédric Bernardin; Reda Chhaibi; Joseph Najnudel; Clément Pellegrini (CoRR, 2022)

Combining Statistical Depth and Fermat Distance for Uncertainty Quantification. - Hai-Vy Nguyen; Fabrice Gamboa; Reda Chhaibi; Sixin Zhang; Serge Gratton; Thierry Giaccone (NeurIPS, 2024)

Statistical Edge Detection And UDF Learning For Shape Representation. - Virgile Foy; Fabrice Gamboa; Reda Chhaibi (CoRR, 2024)

Sensitivity Analysis for Active Sampling, with Applications to the Simulation of Analog Circuits. - Reda Chhaibi; Fabrice Gamboa; Christophe Oger; Vinicius Oliveira; Clément Pellegrini; Damien Remot (CoRR, 2024)

Large Margin Discriminative Loss for Classification. - Hai-Vy Nguyen; Fabrice Gamboa; Sixin Zhang; Reda Chhaibi; Serge Gratton; Thierry Giaccone (CoRR, 2024)

Algebra of Nonlocal Boxes and the Collapse of Communication Complexity. - Pierre Botteron; Anne Broadbent; Reda Chhaibi; Ion Nechita; Clément Pellegrini (Quantum, 2024)

Convolutional Rectangular Attention Module. - Hai-Vy Nguyen; Fabrice Gamboa; Sixin Zhang; Reda Chhaibi; Serge Gratton; Thierry Giaccone (CoRR, 2025)

Feature Representation Transferring to Lightweight Models via Perception Coherence. - Hai-Vy Nguyen; Fabrice Gamboa; Sixin Zhang; Reda Chhaibi; Serge Gratton; Thierry Giaccone (CoRR, 2025)

Faster Computation of Entropic Optimal Transport via Stable Low Frequency Modes. - Reda Chhaibi; Serge Gratton; Samuel Vaiter (CoRR, 2025)