Concepedia

Emiel Hoogeboom

EH

15

Publications

530

Citations

11

H-Index

2018

Active since

Affiliations

University of Amsterdam(Current)

Technical University of Denmark

Amsterdam University of the Arts

Emiel Hoogeboom is an author at University of Amsterdam specializing in engineering, data science, and machine learning.

Top concepts

EngineeringMachine LearningData ScienceDeep LearningImage AnalysisGenerative ModelsComputer VisionComputer ScienceInverse ProblemsComputational Imaging

Publications per year

2018–2023

15

Publications

15

Equivariant Diffusion for Molecule Generation in 3D

Emiel Hoogeboom, Victor García Satorras, Clément Vignac et al. · arXiv (Cornell University) · 2022 · 118 citations · Full text

Geometric Learning, Engineering, Machine Learning +15

E(n) Equivariant Graph Neural Networks

Victor García Satorras, Emiel Hoogeboom, Max Welling · arXiv (Cornell University) · 2021 · 105 citations · Full text

Geometric Learning, Graph Neural Networks, Network Science +13

Learning Likelihoods with Conditional Normalizing Flows

Christina Winkler, Daniel E. Worrall, Emiel Hoogeboom et al. · arXiv (Cornell University) · 2019 · 55 citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +17

Emerging Convolutions for Generative Normalizing Flows

Emiel Hoogeboom, Rianne van den Berg, Max Welling · arXiv (Cornell University) · 2019 · 43 citations · Full text

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini et al. · arXiv (Cornell University) · 2021 · 36 citations · Full text

Engineering, Machine Learning, Generative Flows +16

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