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Emiel Hoogeboom — most-cited papers & profile · Generative Models
← authors
·
overview
Emiel Hoogeboom
21
papers ·
423
citations ·
12
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Emerging Convolutions for Generative Normalizing Flows
2019 · 43 citations
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
2021 · 36 citations
Simple diffusion: End-to-end diffusion for high resolution images
2023 · 27 citations
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
2020 · 26 citations
High-Fidelity Image Compression with Score-based Generative Models
2023 · 12 citations
Blurring Diffusion Models
2022 · 11 citations
E(n) Equivariant Normalizing Flows
2021 · 7 citations
Multistep Consistency Models
2024 · 3 citations
Variational Determinant Estimation with Spherical Normalizing Flows
2020 · 1 citations
Rolling Diffusion Models
2024 · 1 citations
Multistep Distillation of Diffusion Models via Moment Matching
2024 · 1 citations
Dual-Rate Diffusion: Accelerating diffusion models with an interleaved heavy-light network
2026
Beyond Single Tokens: Distilling Discrete Diffusion Models via Discrete MMD
2026
Unified Latents (UL): How to train your latents
2026
Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion
2024
Top co-authors
Tim Salimans
· 8
Jonathan Heek
· 5
Thomas Mensink
· 5
Max Welling
· 4
David Ruhe
· 2
Didrik Nielsen
· 2
Priyank Jaini
· 2
Alexandra Lindt
· 1
David Ruhe
· 1
Eirikur Agustsson
· 1
Fabian B. Fuchs
· 1
Fabian Mentzer
· 1
Topics
Diffusion Models
Training & Sampling
Text-to-Image
math.NA
Conditioning & Control
GANs
cs.IT
math.IT
cs.NA
stat.ML