Publications – Miles

Minh Tri Lê, Pierre Wolinski, Julyan Arbel. Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review. ACM Transactions on Intelligent Systems and Technology, 2026, 17 (4), pp.1-41. ⟨10.1145/3798276⟩. ⟨hal-04296440v2⟩
Eva Feillet, Ryan Whetten, David Picard, Alexandre Allauzen. POLYNOMIAL MIXING FOR EFFICIENT SELF-SUPERVISED SPEECH ENCODERS. 2026. ⟨hal-05589762⟩
Constant Bourdrez, Alexandre Verine, Olivier Cappé. Learning To Sample From Diffusion Models Via Inverse Reinforcement Learning. 2026. ⟨hal-05523140⟩
Romaric Audigier, Patrick Bas, Jan Butora, Emma Coletta, Christophe Charrier, et al.. Projet COMPROMIS WP 2: Research activities in Integrity. 2026. ⟨hal-05600611⟩
Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, et al.. Improving Diversity in Language Models: When Temperature Fails, Change the Loss. 2025. ⟨hal-05413727⟩
Paul Caillon, Alex Colagrande, Erwan Fagnou, Blaise Delattre, Alexandre Allauzen. Forward Only Learning for Orthogonal Neural Networks of Any Depth. 28th European Conference on Artificial Intelligence, Oct 2025, Bologne, Italy. ⟨10.3233/FAIA251041⟩. ⟨hal-05528951⟩
Denis Cornaz, Sébastien Kerleau, Clément Royer. A characterization of positive spanning sets with ties to strongly edge-connected digraphs. Discrete Applied Mathematics, 2025, 374, pp.105-119. ⟨10.1016/j.dam.2025.05.025⟩. ⟨hal-05235650⟩
Pierre Wolinski. Gathering and Exploiting Higher-Order Information when Training Large Structured Models. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto, Portugal. pp.436-452, ⟨10.1007/978-3-032-06078-5_25⟩. ⟨hal-05178426⟩
Lucas Gnecco, Benjamin Negrevergne, Yann Chevaleyre. Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers. Proceedings of ECML PKDD 2025, Sep 2025, Porto, Portugal. ⟨hal-05089941v3⟩
Alexandre Vérine, Inane Ahmed Mehdi, Florian Le Bronnec, Benjamin Negrevergne, Yann Chevaleyre. Improving Discriminator Guidance in Diffusion Models. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto, Portugal. ⟨hal-05416219⟩