99 documents
- 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⟩
- 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 Journal, 2025, pp.1-50. ⟨hal-03933169v3⟩
- 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 Journal, 2025. ⟨hal-04664174v2⟩
- Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen. Bridging the Theoretical Gap in Randomized Smoothing. Proceedings of Machine Learning Research, 2025, Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, 258, pp.3997-4005. ⟨hal-05415915⟩
- 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⟩
- Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Olivier Cappé. Optimal Classification under Performative Distribution Shift. 38th Conference on Neural Information Processing Systems, Dec 2024, Vancouver (Canada), Canada. ⟨hal-04763797⟩

