Ben Poole

82 papers A* 25A 1Journal 48Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.
CVPR
Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski
2025 J jnl
Masks make discriminative models great again!
CoRR
Tianshi Cao, Marie-Julie Rakotosaona, Ben Poole, Federico Tombari, Michael Niemeyer
2025 A* conf
SimVS: Simulating World Inconsistencies for Robust View Synthesis.
CVPR
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
2024 A* conf
CAT3D: Create Anything in 3D with Multi-View Diffusion Models.
NeurIPS
Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole
2024 J jnl
CAT3D: Create Anything in 3D with Multi-View Diffusion Models.
CoRR
Ruiqi Gao, Aleksander Holynski, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron, Ben Poole
2024 J jnl
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models.
CoRR
Rundi Wu, Ruiqi Gao, Ben Poole, Alex Trevithick, Changxi Zheng, Jonathan T. Barron, Aleksander Holynski
2024 A* conf
Disentangled 3D Scene Generation with Layout Learning.
ICML
Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski
2024 J jnl
Disentangled 3D Scene Generation with Layout Learning.
CoRR
Dave Epstein, Ben Poole, Ben Mildenhall, Alexei A. Efros, Aleksander Holynski
2024 A* conf
EM Distillation for One-step Diffusion Models.
NeurIPS
Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin P. Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
2024 J jnl
EM Distillation for One-step Diffusion Models.
CoRR
Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Patrick Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
2024 A* conf
ReconFusion: 3D Reconstruction with Diffusion Priors.
CVPR
Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski
2024 J jnl
SimVS: Simulating World Inconsistencies for Robust View Synthesis.
CoRR
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
2024 A* conf
Video Interpolation with Diffusion Models.
CVPR
Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Holynski, Ben Poole, Janne Kontkanen
2024 J jnl
Video Interpolation with Diffusion Models.
CoRR
Siddhant Jain, Daniel Watson, Eric Tabellion, Aleksander Holynski, Ben Poole, Janne Kontkanen
2023 A* conf
Diffusion Self-Guidance for Controllable Image Generation.
NeurIPS
Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski
2023 J jnl
Diffusion Self-Guidance for Controllable Image Generation.
CoRR
Dave Epstein, Allan Jabri, Ben Poole, Alexei A. Efros, Aleksander Holynski
2023 A* conf
DreamBooth3D: Subject-Driven Text-to-3D Generation.
ICCV
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani
2023 J jnl
DreamBooth3D: Subject-Driven Text-to-3D Generation.
CoRR
Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani
2023 A* conf
DreamFusion: Text-to-3D using 2D Diffusion.
ICLR
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
2023 J jnl
Inpaint3D: 3D Scene Content Generation using 2D Inpainting Diffusion.
CoRR
Kira Prabhu, Jane Wu, Lynn Tsai, Peter Hedman, Dan B. Goldman, Ben Poole, Michael Broxton
2023 J jnl
Learning a Diffusion Prior for NeRFs.
CoRR
Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole
2023 J jnl
ReconFusion: 3D Reconstruction with Diffusion Priors.
CoRR
Rundi Wu, Ben Mildenhall, Philipp Henzler, Keunhong Park, Ruiqi Gao, Daniel Watson, Pratul P. Srinivasan, Dor Verbin, Jonathan T. Barron, Ben Poole, Aleksander Holynski
2023 J jnl
Variational Prediction.
CoRR
Alexander A. Alemi, Ben Poole
2022 A* conf
Autoregressive Diffusion Models.
ICLR
Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans
2022 J jnl
DreamFusion: Text-to-3D using 2D Diffusion.
CoRR
Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
2022 J jnl
Imagen Video: High Definition Video Generation with Diffusion Models.
CoRR
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
2022 J jnl
VeLO: Training Versatile Learned Optimizers by Scaling Up.
CoRR
Luke Metz, James Harrison, C. Daniel Freeman, Amil Merchant, Lucas Beyer, James Bradbury, Naman Agrawal, Ben Poole, Igor Mordatch, Adam Roberts, Jascha Sohl-Dickstein
2022 A* conf
Zero-Shot Text-Guided Object Generation with Dream Fields.
CVPR
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole
2021 J jnl
Autoregressive Diffusion Models.
CoRR
Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans
2021 A* conf
Learning Energy-Based Models by Diffusion Recovery Likelihood.
ICLR
Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma
2021 A* conf
On Density Estimation with Diffusion Models.
NeurIPS
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
2021 A* conf
Score-Based Generative Modeling through Stochastic Differential Equations.
ICLR
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole
2021 J jnl
Variational Diffusion Models.
CoRR
Diederik P. Kingma, Tim Salimans, Ben Poole, Jonathan Ho
2021 J jnl
Zero-Shot Text-Guided Object Generation with Dream Fields.
CoRR
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole
2020 J jnl
Learning Energy-Based Models by Diffusion Recovery Likelihood.
CoRR
Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma
2020 J jnl
Non-saturating GAN training as divergence minimization.
CoRR
Matt Shannon, Ben Poole, Soroosh Mariooryad, Tom Bagby, Eric Battenberg, David Kao, Daisy Stanton, R. J. Skerry-Ryan
2020 A* conf
On Implicit Regularization in β-VAEs.
ICML
Abhishek Kumar, Ben Poole
2020 J jnl
On Implicit Regularization in β-VAEs.
CoRR
Abhishek Kumar, Ben Poole
2020 A conf
Regularized Autoencoders via Relaxed Injective Probability Flow.
AISTATS
Abhishek Kumar, Ben Poole, Kevin Murphy
2020 J jnl
Regularized Autoencoders via Relaxed Injective Probability Flow.
CoRR
Abhishek Kumar, Ben Poole, Kevin Murphy
2020 J jnl
Score-Based Generative Modeling through Stochastic Differential Equations.
CoRR
Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole
2020 J jnl
Tasks, stability, architecture, and compute: Training more effective learned optimizers, and using them to train themselves.
CoRR
Luke Metz, Niru Maheswaranathan, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein
2020 J jnl
Using a thousand optimization tasks to learn hyperparameter search strategies.
CoRR
Luke Metz, Niru Maheswaranathan, Ruoxi Sun, C. Daniel Freeman, Ben Poole, Jascha Sohl-Dickstein
2020 J jnl
VIB is Half Bayes.
CoRR
Alexander A. Alemi, Warren R. Morningstar, Ben Poole, Ian Fischer, Joshua V. Dillon
2020 A* conf
Weakly Supervised Disentanglement with Guarantees.
ICLR
Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole
2020 A* conf
Weakly-Supervised Disentanglement Without Compromises.
ICML
Francesco Locatello, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen
2020 J jnl
Weakly-Supervised Disentanglement Without Compromises.
CoRR
Francesco Locatello, Ben Poole, Gunnar Rätsch, Bernhard Schölkopf, Olivier Bachem, Michael Tschannen
2020 A* conf
What Makes for Good Views for Contrastive Learning?
NeurIPS
Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola
2020 J jnl
What makes for good views for contrastive learning.
CoRR
Yonglong Tian, Chen Sun, Ben Poole, Dilip Krishnan, Cordelia Schmid, Phillip Isola
2019 — conf
Discrete Flows: Invertible Generative Models of Discrete Data.
DGS@ICLR
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole
2019 A* conf
Discrete Flows: Invertible Generative Models of Discrete Data.
NeurIPS
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole
2019 J jnl
Discrete Flows: Invertible Generative Models of Discrete Data.
CoRR
Dustin Tran, Keyon Vafa, Kumar Krishna Agrawal, Laurent Dinh, Ben Poole
2019 J jnl
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation.
CoRR
Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, Ekin D. Cubuk
2019 J jnl
On Predictive Information Sub-optimality of RNNs.
CoRR
Zhe Dong, Deniz Oktay, Ben Poole, Alexander A. Alemi
2019 A* conf
On Variational Bounds of Mutual Information.
ICML
Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker
2019 J jnl
On Variational Bounds of Mutual Information.
CoRR
Ben Poole, Sherjil Ozair, Aäron van den Oord, Alexander A. Alemi, George Tucker
2019 — conf
Preventing Posterior Collapse with delta-VAEs.
ICLR (Poster)
Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals
2019 J jnl
Preventing Posterior Collapse with delta-VAEs.
CoRR
Ali Razavi, Aäron van den Oord, Ben Poole, Oriol Vinyals
2019 J jnl
Weakly Supervised Disentanglement with Guarantees.
CoRR
Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole
2018 A* conf
Fixing a Broken ELBO.
ICML
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
2017 — conf
Adversarially Learned Inference.
ICLR (Poster)
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville
2017 J jnl
An Information-Theoretic Analysis of Deep Latent-Variable Models.
CoRR
Alexander A. Alemi, Ben Poole, Ian Fischer, Joshua V. Dillon, Rif A. Saurous, Kevin Murphy
2017 — conf
Categorical Reparameterization with Gumbel-Softmax.
ICLR (Poster)
Eric Jang, Shixiang Gu, Ben Poole
2017 A* conf
Continual Learning Through Synaptic Intelligence.
ICML
Friedemann Zenke, Ben Poole, Surya Ganguli
2017 J jnl
Improved multitask learning through synaptic intelligence.
CoRR
Friedemann Zenke, Ben Poole, Surya Ganguli
2017 — conf
Intelligent synapses for multi-task and transfer learning.
ICLR (Workshop)
Ben Poole, Friedemann Zenke, Surya Ganguli
2017 A* conf
On the Expressive Power of Deep Neural Networks.
ICML
Maithra Raghu, Ben Poole, Jon M. Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein
2017 — conf
Unrolled Generative Adversarial Networks.
ICLR (Poster)
Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein
2016 J jnl
Adversarially Learned Inference.
CoRR
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martín Arjovsky, Olivier Mastropietro, Aaron C. Courville
2016 J jnl
Categorical Reparameterization with Gumbel-Softmax.
CoRR
Eric Jang, Shixiang Gu, Ben Poole
2016 — conf
Exponential expressivity in deep neural networks through transient chaos.
NIPS
Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli
2016 J jnl
Exponential expressivity in deep neural networks through transient chaos.
CoRR
Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli
2016 J jnl
Improved generator objectives for GANs.
CoRR
Ben Poole, Alexander A. Alemi, Jascha Sohl-Dickstein, Anelia Angelova
2016 J jnl
On the expressive power of deep neural networks.
CoRR
Maithra Raghu, Ben Poole, Jon M. Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein
2016 J jnl
Survey of Expressivity in Deep Neural Networks.
CoRR
Maithra Raghu, Ben Poole, Jon M. Kleinberg, Surya Ganguli, Jascha Sohl-Dickstein
2016 — conf
The Fast Bilateral Solver.
ECCV (3)
Jonathan T. Barron, Ben Poole
2016 J jnl
Unrolled Generative Adversarial Networks.
CoRR
Luke Metz, Ben Poole, David Pfau, Jascha Sohl-Dickstein
2015 J jnl
The Fast Bilateral Solver.
CoRR
Jonathan T. Barron, Ben Poole
2014 J jnl
Analyzing noise in autoencoders and deep networks.
CoRR
Ben Poole, Jascha Sohl-Dickstein, Surya Ganguli
2014 A* conf
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods.
ICML
Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli
2013 J jnl
An adaptive low dimensional quasi-Newton sum of functions optimizer.
CoRR
Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli
2011 J jnl
Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis.
J. Cogn. Neurosci.
John R. Anderson, Daniel Bothell, Jon M. Fincham, Abraham R. Anderson, Ben Poole, Yulin Qin