← Authors

Ben Poole

28 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (37) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (97) ⚑ Prolific Year (5) πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (10) ❓ The Questioner

Conferences

ICML (8) NIPS (7) ICLR (6) CVPR (5) AISTATS (1) ICCV (1)

Top co-authors

Ruiqi Gao (6) Jonathan T. Barron (6) Ben Mildenhall (5) Jascha Sohl-dickstein (4) Surya Ganguli (4) Abhishek Kumar (4) Aleksander Holynski (4) Tim Salimans (3) Rundi Wu (3) Kevin Murphy (3)

Keywords

diffusion model (7) novel view synthesis (4) generative model (4) variational inference (4) representation learning (3) mutual information (3) neural radiance field (3) 3d reconstruction (3) video generation (2) classifier-free guidance (2) neural network (2) data augmentation (2) variational autoencoder (2) knowledge distillation (1) weakly supervised learning (1) mean field theory (1) frame interpolation (1) stochastic gradient descent (1) domain adaptation (1) expectation maximization (1)

Papers

SimVS: Simulating World Inconsistencies for Robust View Synthesis CVPR 2025
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models CVPR 2025
CAT3D: Create Anything in 3D with Multi-View Diffusion Models NIPS 2024
Video Interpolation with Diffusion Models CVPR 2024
Disentangled 3D Scene Generation with Layout Learning ICML 2024
EM Distillation for One-step Diffusion Models NIPS 2024
ReconFusion: 3D Reconstruction with Diffusion Priors CVPR 2024
DreamFusion: Text-to-3D using 2D Diffusion ICLR 2023
Diffusion Self-Guidance for Controllable Image Generation NIPS 2023
DreamBooth3D: Subject-Driven Text-to-3D Generation ICCV 2023
Autoregressive Diffusion Models ICLR 2022
Zero-Shot Text-Guided Object Generation With Dream Fields CVPR 2022
Variational Diffusion Models NIPS 2021
Learning Energy-Based Models by Diffusion Recovery Likelihood ICLR 2021
Score-Based Generative Modeling through Stochastic Differential Equations ICLR 2021
Weakly Supervised Disentanglement with Guarantees ICLR 2020
What Makes for Good Views for Contrastive Learning? NIPS 2020
Weakly-Supervised Disentanglement Without Compromises ICML 2020
On Implicit Regularization in $Ξ²$-VAEs ICML 2020
Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020
Preventing Posterior Collapse with delta-VAEs ICLR 2019
Discrete Flows: Invertible Generative Models of Discrete Data NIPS 2019
On Variational Bounds of Mutual Information ICML 2019
Fixing a Broken ELBO ICML 2018
On the Expressive Power of Deep Neural Networks ICML 2017
Continual Learning Through Synaptic Intelligence ICML 2017
Exponential expressivity in deep neural networks through transient chaos NIPS 2016
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014