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ORCIDYann Chevaleyre
- > Home > Persons > Yann Chevaleyre
Publications
- 2024
[c63]Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen:
Exploring Precision and Recall to assess the quality and diversity of LLMs. ACL (1) 2024: 11418-11441- [c62]Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
Optimal Budgeted Rejection Sampling for Generative Models. AISTATS 2024: 3367-3375 - [i25]Florian Le Bronnec, Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Alexandre Allauzen:
Exploring Precision and Recall to assess the quality and diversity of LLMs. CoRR abs/2402.10693 (2024) - 2023
- [c60]Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier, Benjamin Négrevergne, Yann Chevaleyre:
On the Role of Randomization in Adversarially Robust Classification. NeurIPS 2023 - [c59]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. NeurIPS 2023 - [i24]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Training Normalizing Flows with the Precision-Recall Divergence. CoRR abs/2302.00628 (2023) - [i23]Lucas Gnecco Heredia, Yann Chevaleyre, Benjamin Négrevergne, Laurent Meunier:
Randomization for adversarial robustness: the Good, the Bad and the Ugly. CoRR abs/2302.07221 (2023) - [i22]Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows. CoRR abs/2305.18910 (2023) - [i21]Lucas Gnecco Heredia, Benjamin Négrevergne, Yann Chevaleyre:
Adversarial attacks for mixtures of classifiers. CoRR abs/2307.10788 (2023) - [i20]Alexandre Verine, Muni Sreenivas Pydi, Benjamin Négrevergne, Yann Chevaleyre:
Optimal Budgeted Rejection Sampling for Generative Models. CoRR abs/2311.00460 (2023) - 2022
- [c58]Alexandre Verine, Benjamin Négrevergne, Yann Chevaleyre, Fabrice Rossi:
On the expressivity of bi-Lipschitz normalizing flows. ACML 2022: 1054-1069 - 2021
- [c54]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. AAAI 2021: 6661-6669 - [i13]Alexandre Verine, Benjamin Négrevergne, Fabrice Rossi, Yann Chevaleyre:
On the expressivity of bi-Lipschitz normalizing flows. CoRR abs/2107.07232 (2021) - 2020
- [c49]Alexandre Araujo
, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Understanding and Training Deep Diagonal Circulant Neural Networks. ECAI 2020: 945-952 - [i9]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Fast & Accurate Method for Bounding the Singular Values of Convolutional Layers with Application to Lipschitz Regularization. CoRR abs/2006.08391 (2020) - 2019
- [i7]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
On the Expressive Power of Deep Fully Circulant Neural Networks. CoRR abs/1901.10255 (2019) - [i6]Alexandre Araujo, Rafael Pinot, Benjamin Négrevergne, Laurent Meunier, Yann Chevaleyre, Florian Yger, Jamal Atif:
Robust Neural Networks using Randomized Adversarial Training. CoRR abs/1903.10219 (2019) - 2018
- [c42]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. ECCV Workshops (4) 2018: 271-286 - [i3]Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
Training compact deep learning models for video classification using circulant matrices. CoRR abs/1810.01140 (2018)
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