Ben Poole
28 papers · 2014–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (11)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌍
Conference Polyglot
(6)
🧬
Topic Evolution
👑
Triple Crown
🗃️
Keyword Collector
(97)
⚡
Prolific Year
(5)
💎
Century Club
(28)
🔥
Unstoppable
(10)
❓
The Questioner
Conferences
ICML (8)
NIPS (7)
ICLR (6)
CVPR (5)
AISTATS (1)
ICCV (1)
Top co-authors
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 $β$-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