Ben Poole
28 papers · 2014–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(12)
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Triple Crown
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Topic Evolution
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Keyword Champion
(2)
ποΈ
Keyword Collector
(124)
β
The Questioner
π₯
Unstoppable Β· Silver
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Century Club Β· Bronze
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Prolific Year Β· Productive
Top co-authors
Research topics
Deep Learning
(22)
Models
(19)
Machine Learning
(13)
Computer Vision
(10)
Generation
(9)
Analysis
(6)
Core Methods
(6)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(6)
Architectures
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(3)
Processing
(3)
Mathematics & Optimization
(2)
Keywords
diffusion model
(9)
variational inference
(4)
image generation
(4)
neural radiance field
(4)
generative model
(4)
novel view synthesis
(4)
3d reconstruction
(3)
variational autoencoder
(3)
mutual information
(3)
representation learning
(3)
variational lower bound
(2)
video generation
(2)
classifier-free guidance
(2)
weakly supervised learning
(2)
neural network
(2)
disentangled representation
(2)
text-to-image model
(2)
data augmentation
(2)
latent variable
(2)
factor of variation
(2)
Papers
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models
CVPR 2025
SimVS: Simulating World Inconsistencies for Robust View Synthesis
CVPR 2025
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
NeurIPS 2024
Disentangled 3D Scene Generation with Layout Learning
ICML 2024
EM Distillation for One-step Diffusion Models
NeurIPS 2024
ReconFusion: 3D Reconstruction with Diffusion Priors
CVPR 2024
Video Interpolation with Diffusion Models
CVPR 2024
Diffusion Self-Guidance for Controllable Image Generation
NeurIPS 2023
DreamBooth3D: Subject-Driven Text-to-3D Generation
ICCV 2023
DreamFusion: Text-to-3D using 2D Diffusion
ICLR 2023
Autoregressive Diffusion Models
ICLR 2022
Zero-Shot Text-Guided Object Generation With Dream Fields
CVPR 2022
Learning Energy-Based Models by Diffusion Recovery Likelihood
ICLR 2021
Score-Based Generative Modeling through Stochastic Differential Equations
ICLR 2021
Variational Diffusion Models
NeurIPS 2021
On Implicit Regularization in $Ξ²$-VAEs
ICML 2020
Regularized Autoencoders via Relaxed Injective Probability Flow
AISTATS 2020
Weakly Supervised Disentanglement with Guarantees
ICLR 2020
Weakly-Supervised Disentanglement Without Compromises
ICML 2020
What Makes for Good Views for Contrastive Learning?
NeurIPS 2020
Discrete Flows: Invertible Generative Models of Discrete Data
NeurIPS 2019
On Variational Bounds of Mutual Information
ICML 2019
Preventing Posterior Collapse with delta-VAEs
ICLR 2019
Fixing a Broken ELBO
ICML 2018
Continual Learning Through Synaptic Intelligence
ICML 2017
On the Expressive Power of Deep Neural Networks
ICML 2017
Exponential expressivity in deep neural networks through transient chaos
NeurIPS 2016
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
ICML 2014