Joe Benton

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Variational Inference

Diffusion Models

Top Venues

J. Mach. Learn. Res.

Trans. Mach. Learn. Res.

Publications

Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. ICLR (2024)
Joe Benton, George Deligiannidis, Arnaud Doucet
Error Bounds for Flow Matching Methods. Trans. Mach. Learn. Res. 2024 (2024)
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
When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? CoRR (2024)
Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
Linear Convergence Bounds for Diffusion Models via Stochastic Localization. CoRR (2023)
Mingyang Deng, Lucas Tao, Joe Benton
Measuring Feature Sparsity in Language Models. CoRR (2023)
Joe Benton, George Deligiannidis, Arnaud Doucet
Error Bounds for Flow Matching Methods. CoRR (2023)
Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics. J. Mach. Learn. Res. 24 (2023)
Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis, Arnaud Doucet
A Continuous Time Framework for Discrete Denoising Models. CoRR (2022)
Adam Scherlis, Kshitij Sachan, Adam S. Jermyn, Joe Benton, Buck Shlegeris
Polysemanticity and Capacity in Neural Networks. CoRR (2022)
Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics. CoRR (2022)
Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet
A Continuous Time Framework for Discrete Denoising Models. NeurIPS (2022)
Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis, Arnaud Doucet
From Denoising Diffusions to Denoising Markov Models. CoRR (2022)