Emiel Hoogeboom
18 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
π Conference Polyglot (4) π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(10)
π
Conference Polyglot
(4)
π€
Dynamic Duo
(10)
π
Triple Crown
π₯
Unstoppable
(8)
π
Century Club
(18)
π
Conference Pioneer
ποΈ
Keyword Collector
(55)
Conferences
ICML (7)
NIPS (6)
ICLR (4)
CVPR (1)
Top co-authors
Keywords
normalizing flow
(6)
generative model
(5)
diffusion model
(5)
image generation
(4)
equivariant neural network
(3)
denoising diffusion
(2)
graph neural network
(2)
latent diffusion
(2)
high resolution image
(2)
high resolution
(2)
knowledge distillation
(1)
density estimation
(1)
dynamical system
(1)
autoregressive model
(1)
image segmentation
(1)
moment matching
(1)
likelihood estimation
(1)
variational inference
(1)
3d generation
(1)
lossless compression
(1)
Papers
Simpler Diffusion: 1.5 FID on ImageNet512 with Pixel-space Diffusion
CVPR 2025
Multistep Distillation of Diffusion Models via Moment Matching
NIPS 2024
Rolling Diffusion Models
ICML 2024
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
ICLR 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
E(n) Equivariant Normalizing Flows
NIPS 2021
Self Normalizing Flows
ICML 2021
E(n) Equivariant Graph Neural Networks
ICML 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
NIPS 2021
Predictive Sampling with Forecasting Autoregressive Models
ICML 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
NIPS 2020
The Convolution Exponential and Generalized Sylvester Flows
NIPS 2020
Integer Discrete Flows and Lossless Compression
NIPS 2019
Emerging Convolutions for Generative Normalizing Flows
ICML 2019
HexaConv
ICLR 2018