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Joe Benton
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2020 – today
- 2024
- [j2]Joe Benton, George Deligiannidis, Arnaud Doucet:
Error Bounds for Flow Matching Methods. Trans. Mach. Learn. Res. 2024 (2024) - [c2]Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis:
Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization. ICLR 2024 - [i9]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 abs/2407.15211 (2024) - [i8]Joe Benton, Misha Wagner, Eric Christiansen, Cem Anil, Ethan Perez, Jai Srivastav, Esin Durmus, Deep Ganguli, Shauna Kravec, Buck Shlegeris, Jared Kaplan, Holden Karnofsky, Evan Hubinger, Roger Grosse, Samuel R. Bowman, David Duvenaud:
Sabotage Evaluations for Frontier Models. CoRR abs/2410.21514 (2024) - 2023
- [j1]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: 243:1-243:83 (2023) - [i7]Joe Benton, George Deligiannidis
, Arnaud Doucet:
Error Bounds for Flow Matching Methods. CoRR abs/2305.16860 (2023) - [i6]Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
Linear Convergence Bounds for Diffusion Models via Stochastic Localization. CoRR abs/2308.03686 (2023) - [i5]Mingyang Deng, Lucas Tao, Joe Benton:
Measuring Feature Sparsity in Language Models. CoRR abs/2310.07837 (2023) - 2022
- [c1]Andrew Campbell, Joe Benton, Valentin De Bortoli, Thomas Rainforth, George Deligiannidis, Arnaud Doucet:
A Continuous Time Framework for Discrete Denoising Models. NeurIPS 2022 - [i4]Andrew Campbell, Joe Benton, Valentin De Bortoli, Tom Rainforth, George Deligiannidis
A Continuous Time Framework for Discrete Denoising Models. CoRR abs/2205.14987 (2022) - [i3]Adam Scherlis, Kshitij Sachan, Adam S. Jermyn, Joe Benton, Buck Shlegeris:
Polysemanticity and Capacity in Neural Networks. CoRR abs/2210.01892 (2022) - [i2]Kamélia Daudel, Joe Benton, Yuyang Shi, Arnaud Doucet:
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics. CoRR abs/2210.06226 (2022) - [i1]Joe Benton, Yuyang Shi, Valentin De Bortoli, George Deligiannidis
From Denoising Diffusions to Denoising Markov Models. CoRR abs/2211.03595 (2022)
Coauthor Index
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