Joe Benton

According to our database, Joe Benton authored at least 9 papers between 2022 and 2024.

Collaborative distances:

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

2024

Error Bounds for Flow Matching Methods.

Joe Benton, George Deligiannidis, Arnaud Doucet

Trans. Mach. Learn. Res., 2024

When Do Universal Image Jailbreaks Transfer Between Vision-Language Models?

Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristóbal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez

CoRR, 2024

Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization.

Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics.

Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet

J. Mach. Learn. Res., 2023

Measuring Feature Sparsity in Language Models.

Mingyang Deng, Lucas Tao, Joe Benton

CoRR, 2023

Linear Convergence Bounds for Diffusion Models via Stochastic Localization.

Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis

CoRR, 2023

2022

From Denoising Diffusions to Denoising Markov Models.

Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet

CoRR, 2022

Polysemanticity and Capacity in Neural Networks.

Adam Scherlis, Kshitij Sachan, Adam S. Jermyn, Joe Benton, Buck Shlegeris

CoRR, 2022

A Continuous Time Framework for Discrete Denoising Models.

Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022