Publications



99 documents

  • Alexandre Verine, Ahmed Mehdi Inane, Florian Le Bronnec, Benjamin Negrevergne, Yann Chevaleyre. Improving Discriminator Guidance in Diffusion Models. Machine Learning and Knowledge Discovery in Databases. Research Track., 2025, Porto, Portugal. 16014, Springer Nature Switzerland, pp.222-238, 2026, Lecture Notes in Computer Science, 978-3-032-05981-9. ⟨10.1007/978-3-032-05981-9_14⟩. ⟨hal-05421380⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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-05089941v2⟩
  • 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⟩
  • Ilana Sebag, Jean-Yves Franceschi, Alain Rakotomamonjy, Alexandre Allauzen, Jamal Atif. On the MIA Vulnerability Gap Between Private GANs and Diffusion Models. 2025. ⟨hal-05236329⟩
  • Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan. PILAF: Optimal Human Preference Sampling for Reward Modeling. Forty-Second International Conference on Machine Learning. ICML 2025., Jul 2025, Vancoucer, Canada. pp.16744-16776, ⟨10.48550/arXiv.2502.04270⟩. ⟨hal-05429131⟩
  • Yunhao Tang, Kunhao Zheng, Gabriel Synnaeve, Rémi Munos. Optimizing Language Models for Inference Time Objectives using Reinforcement Learning. Forty-Second International Conference on Machine Learning (ICML 2025), Jul 2025, Vancoucer, Canada. pp.59066-59085, ⟨10.48550/arXiv.2503.19595⟩. ⟨hal-05429136⟩
  • Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Quentin Carbonneaux, et al.. RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning. Forty-Second International Conference on Machine Learning. ICML 2025., Jul 2025, Vancoucer, Canada. pp.19034-19055, ⟨10.48550/arXiv.2410.02089⟩. ⟨hal-05429109⟩