Benjamin Negrevergne
Scholar

Benjamin Negrevergne

Google Scholar ID: kXkSpn4AAAAJ
Unversité PSL -- Paris Dauphine
machine learningdeep learningadversarial examplesprecision recall for generative models
Citations & Impact
All-time
Citations
558
 
H-index
12
 
i10-index
15
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Publications:
  • 1. Improving Diversity in Language Models: When Temperature Fails, Change the Loss (ICML, 2025)
  • 2. Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers (ECML, 2025)
  • 3. Improving Discriminator Guidance in Diffusion Models (ECML, 2025)
  • 4. What Makes Large Language Models Reason in (Multi-Turn) Code Generation? (ICLR, 2025)
  • 5. Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory (AIStats, 2025)
  • 6. Exploring Precision and Recall to assess the quality and diversity of LLMs (ACL, 2024)
  • 7. Optimal Budgeted Rejection Sampling for Generative Models (AIStats, 2024)
  • 8. Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows (NeurIPS, 2023)
  • 9. On the Role of Randomization in Adversarially Robust Classification (NeurIPS, 2023)
  • 10. On the expressivity of normalizing flows (Asian Conference on Machine Learning, 2022)
  • 11. Deep Policy Learning for Perfect Rectangle Packing (PRL@IJCAI, 2021)
  • 12. Deep Reinforcement Learning for Morpion Solitaire (ICGA, 2021)
  • 13. On the expressivity of bi-Lipschitz normalizing flows (arXiv preprint arXiv:2107.07232, 2021)
Research Experience
  • Past or current Ph.D. students include:
  • - Alexandre Araujo (defended), with Jamal Atif, CIFRE with Wavestone, currently postdoc at NYU.
  • - Boris Doux (defended), with Tristan Cazenanve, currently Software Engineer AWS, Dallas Texas.
  • - Alexandre Vérine, with Yann Chevaleyre, École Normale scholarship.
  • - Lucas Gnecco, with Yann Chevaleyre, ANR project DELCO.
  • - Kunhao Zheng, with Gabriel Synnaeve and Yann Chevaleyre, CDDP META/FAIR.
Background
  • Associate professor at the Lamsade laboratory from PSL – Paris Dauphine university, in Paris. Co-leader of the MILES research team, with a focus on Machine Learning. Also co-director of the IASD Master Program (AI and Data Science) with Olivier Cappé, and partially in charge of the computer science graduate program of PSL. Currently launching Nautia, a startup project aiming to use reinforcement learning to steer large racing sailboats.
Miscellany
  • Contact Information:
  • - E-mail: {firstname.lastname} @ psl.dauphine.eu
  • - Mailing Address: LAMSADE, Place du Maréchal de Lattre de Tassigny, 75 775 PARIS CEDEX 16, FRANCE
  • - Office: P407
  • - Tel: +33 1 44 05 44 18
Co-authors
0 total
Co-authors: 0 (list not available)