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Arnaud Doucet
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Denoising Diffusion Samplers


Feb 27, 2023
Francisco Vargas, Will Grathwohl, Arnaud Doucet

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* In The Eleventh In The Eleventh International Conference on Learning Representations, 2023 
 * In The Eleventh International Conference on Learning Representations, 2023 
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Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC


Feb 22, 2023
Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Grathwohl

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* Project Webpage: https://energy-based-model.github.io/reduce-reuse-recycle/ 
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SE(3) diffusion model with application to protein backbone generation


Feb 11, 2023
Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi Jaakkola

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A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs


Jan 19, 2023
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris Holmes, Arnaud Doucet, Matthew Willetts

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* NeurIPS 2022 (selected as oral) 
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Causal Falsification of Digital Twins


Jan 19, 2023
Rob Cornish, Muhammad Faaiz Taufiq, Arnaud Doucet, Chris Holmes

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Continuous diffusion for categorical data


Dec 15, 2022
Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler

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* 26 pages, 8 figures; corrections and additional information about hyperparameters 
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Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving


Dec 14, 2022
Angad Singh, Omar Makhlouf, Maximilian Igl, Joao Messias, Arnaud Doucet, Shimon Whiteson

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* Accepted to CoRL 2022 
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