Emiel Hoogeboom
18 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
🤝
Dynamic Duo
(10)
👑
Triple Crown
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(80)
Venues
Top co-authors
Research topics
Deep Learning
(16)
Models
(14)
Machine Learning
(12)
Computer Vision
(9)
Generation
(8)
Architectures
(6)
Learning Types · Machine Learning
(4)
Core Methods
(3)
Optimization & Theory · Machine Learning
(3)
Analysis
(2)
Application Areas
(2)
Techniques
(2)
Bayesian & Probabilistic
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
diffusion model
(7)
normalizing flow
(6)
generative model
(5)
image generation
(5)
denoising diffusion
(3)
equivariant neural network
(3)
graph neural network
(2)
latent diffusion
(2)
high resolution
(2)
high-resolution image
(2)
lossless compression
(2)
parameter sharing
(1)
density estimation
(1)
likelihood estimation
(1)
neural rendering
(1)
image synthesis
(1)
variational inference
(1)
representation learning
(1)
model distillation
(1)
autoregressive model
(1)
Papers
Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion
CVPR 2025
DORSal: Diffusion for Object-centric Representations of Scenes et al.
ICLR 2024
Multistep Distillation of Diffusion Models via Moment Matching
NeurIPS 2024
Rolling Diffusion Models
ICML 2024
Blurring Diffusion Models
ICLR 2023
simple diffusion: End-to-end diffusion for high resolution images
ICML 2023
Autoregressive Diffusion Models
ICLR 2022
Equivariant Diffusion for Molecule Generation in 3D
ICML 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
NeurIPS 2021
E(n) Equivariant Graph Neural Networks
ICML 2021
E(n) Equivariant Normalizing Flows
NeurIPS 2021
Self Normalizing Flows
ICML 2021
Predictive Sampling with Forecasting Autoregressive Models
ICML 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
NeurIPS 2020
The Convolution Exponential and Generalized Sylvester Flows
NeurIPS 2020
Emerging Convolutions for Generative Normalizing Flows
ICML 2019
Integer Discrete Flows and Lossless Compression
NeurIPS 2019
HexaConv
ICLR 2018