MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference. - Achille Thin; Nikita Kotelevskii; Jean-Stanislas Denain; Léo Grinsztajn; Alain Durmus; Maxim Panov; Eric Moulines (CoRR, 2020)

Grounding Representation Similarity Through Statistical Testing. - Frances Ding; Jean-Stanislas Denain; Jacob Steinhardt (NeurIPS, 2021)

Grounding Representation Similarity with Statistical Testing. - Frances Ding; Jean-Stanislas Denain; Jacob Steinhardt (CoRR, 2021)

Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior. - Jean-Stanislas Denain; Jacob Steinhardt (CoRR, 2022)

AI capabilities can be significantly improved without expensive retraining. - Tom Davidson; Jean-Stanislas Denain; Pablo Villalobos; Guillem Bas (CoRR, 2023)

Overthinking the Truth: Understanding how Language Models Process False Demonstrations. - Danny Halawi; Jean-Stanislas Denain; Jacob Steinhardt (ICLR, 2024)

FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI. - Elliot Glazer; Ege Erdil; Tamay Besiroglu; Diego Chicharro; Evan Chen; Alex Gunning; Caroline Falkman Olsson; Jean-Stanislas Denain; Anson Ho; Emily de Oliveira Santos; Olli Järviniemi; Matthew Barnett; et al. (CoRR, 2024)