Poole, Ben

35 publications

CVPR 2025 CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski

CVPR 2025 SimVS: Simulating World Inconsistencies for Robust View Synthesis Alex Trevithick, Roni Paiss, Philipp Henzler, Dor Verbin, Rundi Wu, Hadi Alzayer, Ruiqi Gao, Ben Poole, Jonathan T. Barron, Aleksander Holynski, Ravi Ramamoorthi, Pratul P. Srinivasan

NeurIPS 2024 CAT3D: Create Anything in 3D with Multi-View Diffusion Models Ruiqi Gao, Aleksander Hołyński, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T. Barron, Ben Poole

ICML 2024 Disentangled 3D Scene Generation with Layout Learning Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A Efros, Aleksander Holynski

NeurIPS 2024 EM Distillation for One-Step Diffusion Models Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Murphy, Tim Salimans, Ben Poole, Ruiqi Gao

CVPR 2024 ReconFusion: 3D Reconstruction with Diffusion Priors Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Ho?y?ski

CVPR 2024 Video Interpolation with Diffusion Models Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Ho?ynski, Ben Poole, Janne Kontkanen

NeurIPS 2023 Diffusion Self-Guidance for Controllable Image Generation Dave Epstein, Allan Jabri, Ben Poole, Alexei Efros, Aleksander Holynski

ICCV 2023 DreamBooth3D: Subject-Driven Text-to-3D Generation Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan Barron, Yuanzhen Li, Varun Jampani

ICLR 2023 DreamFusion: Text-to-3D Using 2D Diffusion Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall

ICLR 2022 Autoregressive Diffusion Models Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans

NeurIPSW 2022 Journey to the BAOAB-Limit: Finding Effective MCMC Samplers for Score-Based Models Ajay Jain, Ben Poole

CVPR 2022 Zero-Shot Text-Guided Object Generation with Dream Fields Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole

ICLR 2021 Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P Kingma

ICLR 2021 Score-Based Generative Modeling Through Stochastic Differential Equations Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

NeurIPS 2021 Variational Diffusion Models Diederik Kingma, Tim Salimans, Ben Poole, Jonathan Ho

ICML 2020 On Implicit Regularization in $β$-VAEs Abhishek Kumar, Ben Poole

AISTATS 2020 Regularized Autoencoders via Relaxed Injective Probability Flow Abhishek Kumar, Ben Poole, Kevin Murphy

ICLR 2020 Weakly Supervised Disentanglement with Guarantees Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole

ICML 2020 Weakly-Supervised Disentanglement Without Compromises Francesco Locatello, Ben Poole, Gunnar Raetsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen

NeurIPS 2020 What Makes for Good Views for Contrastive Learning? Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola

NeurIPS 2019 Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran, Keyon Vafa, Kumar Agrawal, Laurent Dinh, Ben Poole

ICLRW 2019 Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran, Keyon Vafa, Kumar Agrawal, Laurent Dinh, Ben Poole

ICML 2019 On Variational Bounds of Mutual Information Ben Poole, Sherjil Ozair, Aaron Van Den Oord, Alex Alemi, George Tucker

ICLR 2019 Preventing Posterior Collapse with Delta-VAEs Ali Razavi, Aaron van den Oord, Ben Poole, Oriol Vinyals

ICML 2018 Fixing a Broken ELBO Alexander Alemi, Ben Poole, Ian Fischer, Joshua Dillon, Rif A. Saurous, Kevin Murphy

ICLR 2017 Adversarially Learned Inference Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville

ICLR 2017 Categorical Reparameterization with Gumbel-SoftMax Eric Jang, Shixiang Gu, Ben Poole

ICML 2017 Continual Learning Through Synaptic Intelligence Friedemann Zenke, Ben Poole, Surya Ganguli

ICLR 2017 Intelligent Synapses for Multi-Task and Transfer Learning Ben Poole, Friedemann Zenke, Surya Ganguli

ICML 2017 On the Expressive Power of Deep Neural Networks Maithra Raghu, Ben Poole, Jon Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein

ICLR 2017 Unrolled Generative Adversarial Networks Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein

NeurIPS 2016 Exponential Expressivity in Deep Neural Networks Through Transient Chaos Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli

ECCV 2016 The Fast Bilateral Solver Jonathan T. Barron, Ben Poole

ICML 2014 Fast Large-Scale Optimization by Unifying Stochastic Gradient and Quasi-Newton Methods Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli