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Joe Benton
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 9
Top Topics
Regret Bounds
Diffusion Models
Markov Models
Variational Inference
Top Venues
CoRR
J. Mach. Learn. Res.
NeurIPS
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Publications
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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)