Ayache, Stéphane

7 publications

MLJ 2024 Distillation of Weighted Automata from Recurrent Neural Networks Using a Spectral Approach Rémi Eyraud, Stéphane Ayache

AISTATS 2024 Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity Kais Hariz, Hachem Kadri, Stéphane Ayache, Maher Moakher, Thierry Artières

ICCVW 2023 Towards an Exhaustive Evaluation of Vision-Language Foundation Models Emmanuelle Salin, Stéphane Ayache, Benoît Favre

AAAI 2022 Are Vision-Language Transformers Learning Multimodal Representations? a Probing Perspective Emmanuelle Salin, Badreddine Farah, Stéphane Ayache, Benoît Favre

ICML 2022 Implicit Regularization with Polynomial Growth in Deep Tensor Factorization Kais Hariz, Hachem Kadri, Stephane Ayache, Maher Moakher, Thierry Artieres

ICML 2020 Partial Trace Regression and Low-Rank Kraus Decomposition Hachem Kadri, Stephane Ayache, Riikka Huusari, Alain Rakotomamonjy, Ralaivola Liva

ACML 2013 The Multi-Task Learning View of Multimodal Data Hachem Kadri, Stephane Ayache, Cécile Capponi, Sokol Koço, François-Xavier Dupé, Emilie Morvant