Publications – Miles

Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, et al.. Improving Diversity in Language Models: When Temperature Fails, Change the Loss. Forty-second International Conference on Machine Learning, ICML, Jul 2025, Vancouver, Canada. pp.61266-61300. ⟨hal-05570818⟩
Zheng Kunhao, Decugis Juliette, Gehring Jonas, Cohen Taco, Benjamin Negrevergne, et al.. What Makes Large Language Models Reason In (Multi-Turn) Code Generation?. ICLR, May 2025, Singapore, Singapore. ⟨hal-05070997⟩
Léo Dana, Muni Sreenivas Pydi, Yann Chevaleyre. Memorization in Attention-only Transformers. International Conference on Artificial Intelligence and Statistics, May 2025, Mai Khao, Thailand. pp.3133-3141. ⟨hal-05427727⟩
Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen. Bridging the Theoretical Gap in Randomized Smoothing. International Conference on Artificial Intelligence and Statistics, May 2025, Mai Khao, Thailand. pp.3997-4005. ⟨hal-05415915⟩
Lucas Gnecco Heredia, Matteo Sammut, Muni Pydi, Rafaël Pinot, Benjamin Negrevergne, et al.. Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory. AIStats, May 2025, Phuket, Thailand. ⟨hal-05071096v2⟩
Ori Yoran, Kunhao Zheng, Fabian Gloeckle, Jonas Gehring, Gabriel Synnaeve, et al.. The KoLMogorov Test: Compression by Code Generation. The Thirteenth International Conference on Learning Representations. ICLR 2025., Apr 2025, Singapore, Singapore. ⟨10.48550/arXiv.2503.13992⟩. ⟨hal-05429074⟩
Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen. Accelerated Training through Iterative Gradient Propagation Along the Residual Path. The Thirteenth International Conference on Learning Representations, Apr 2025, Singapore, Singapore. ⟨hal-05233843⟩
Pierre Wolinski, Julyan Arbel. Gaussian Pre-Activations in Neural Networks: Myth or Reality?. Transactions on Machine Learning Research , 2025, pp.1-50. ⟨hal-03933169v3⟩
K.J. Dzahini, F. Rinaldi, C.W. Royer, D. Zeffiro. Direct-search methods in the year 2025: Theoretical guarantees and algorithmic paradigms. EURO Journal on Computational Optimization, 2025, 13, pp.100110. ⟨10.1016/j.ejco.2025.100110⟩. ⟨hal-05235664⟩
Ilana Sebag, Muni Sreenivas, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, et al.. Differentially Private Gradient Flow based on the Sliced Wasserstein Distance. Transactions on Machine Learning Research , 2025. ⟨hal-04664174v2⟩