Ben Poole - RankMe

82 papers A* 25A 1Journal 48Unranked 8

Year	Rank	Type	Title / 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