Scholar
Alexandre Vérine
Google Scholar ID: l_e0zo8AAAAJ
Junior AI Fellow | Université PSL | Center for Data Science at ENS-PSL
Citations & Impact
Citations
85
H-index
4
i10-index
3
Publications
8
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Publication in ICML 2025: 'Improving Diversity in Language Models: When Temperature Fails, Change the Loss'.
- Publication in ECML 2025: 'Improving Diversity in Language Models: When Temperature Fails, Change the Loss'.
- PhD Thesis, 2024: 'Quality and Diversity in Generative Models through the lens of f-divergences'.
- Publication in ACL 2024 (Main): 'Exploring Precision and Recall to assess the quality and diversity of LLMs'.
- Publication in AISTATS 2024: 'Optimal Budgeted Rejection Sampling for Generative Models'.
- Publication in NeurIPS 2023: 'Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows'.
- Publication in ACML 2022: 'On the expressivity of bi-Lipschitz normalizing flows'.
Education
- PhD in Artificial Intelligence, 2024, Université Paris-Dauphine, supervised by Prof. Yann Chevaleyre.
- Multidisciplinary Master's Year in Quantitative Economics, 2020, Université Paris-Dauphine.
- MVA - MEng in Computer Science, 2019, École Normale Supérieure Paris-Saclay.
- Multidisciplinary Master's Year in Fundamental Physics, 2018, Université Paris-Sud.
- BSc in Electrical Engineering, 2017, École Normale Supérieure Paris-Saclay.
Background
- Research Interests: Deep Learning, Generative Modelling, Precision and Recall for Generative Models. Specialization: Expressivity of Generative Models and the trade-off between the quality and diversity of generated data.
