Jean-Stanislas Denain

According to our database, Jean-Stanislas Denain authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, Robert Sandler, Matej Vrzala, Jaime Sevilla, Qiuyu Ren, Elizabeth Pratt, Lionel Levine, Grant Barkley, Natalie Stewart, Bogdan Grechuk, Tetiana Grechuk, Shreepranav Varma Enugandla, Mark Wildon

CoRR, 2024

Overthinking the Truth: Understanding how Language Models Process False Demonstrations.

Danny Halawi, Jean-Stanislas Denain, Jacob Steinhardt

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

AI capabilities can be significantly improved without expensive retraining.

Tom Davidson, Jean-Stanislas Denain, Pablo Villalobos, Guillem Bas

CoRR, 2023

2022

Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior.

Jean-Stanislas Denain, Jacob Steinhardt

CoRR, 2022

2021

Grounding Representation Similarity with Statistical Testing.

Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt

CoRR, 2021

Grounding Representation Similarity Through Statistical Testing.

Frances Ding, Jean-Stanislas Denain, Jacob Steinhardt

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

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