Emiel Hoogeboom
Emiel Hoogeboom
Verified email at uva.nl - Homepage
Title
Cited by
Cited by
Year
Emerging Convolutions for Generative Normalizing Flows
E Hoogeboom, R van den Berg, M Welling
International Conference on Machine Learning, 2771-2780, 2019
622019
HexaConv
E Hoogeboom, JWT Peters, TS Cohen, M Welling
arXiv preprint arXiv:1803.02108, 2018
532018
Integer Discrete Flows and Lossless Compression
E Hoogeboom, J Peters, R van den Berg, M Welling
Advances in Neural Information Processing Systems, 12134-12144, 2019
512019
Learning Likelihoods with Conditional Normalizing Flows
C Winkler, D Worrall, E Hoogeboom, M Welling
arXiv preprint arXiv:1912.00042, 2019
402019
E(n) Equivariant Graph Neural Networks
VG Satorras, E Hoogeboom, M Welling
arXiv preprint arXiv:2102.09844, 2021
312021
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
D Nielsen, P Jaini, E Hoogeboom, O Winther, M Welling
Advances in Neural Information Processing Systems 33, 2020
172020
E(n) Equivariant Normalizing Flows
VG Satorras, E Hoogeboom, FB Fuchs, I Posner, M Welling
arXiv preprint arXiv:2105.09016, 2021
122021
Learning Discrete Distributions by Dequantization
E Hoogeboom, TS Cohen, JM Tomczak
arXiv preprint arXiv:2001.11235, 2020
122020
The Convolution Exponential and Generalized Sylvester Flows
E Hoogeboom, VG Satorras, JM Tomczak, M Welling
arXiv preprint arXiv:2006.01910, 2020
102020
Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models
E Hoogeboom, D Nielsen, P Jaini, P Forré, M Welling
arXiv preprint arXiv:2102.05379, 2021
82021
Predictive Sampling with Forecasting Autoregressive Models
A Wiggers, E Hoogeboom
International Conference on Machine Learning, 10260-10269, 2020
72020
Few-Shot Classification by Learning Disentangled Representations
E Hoogeboom
Msc, University of Amsterdam, 2017
32017
Self Normalizing Flows
TA Keller, JWT Peters, P Jaini, E Hoogeboom, P Forré, M Welling
arXiv preprint arXiv:2011.07248, 2020
12020
Autoregressive Diffusion Models
E Hoogeboom, AA Gritsenko, J Bastings, B Poole, R Berg, T Salimans
arXiv preprint arXiv:2110.02037, 2021
2021
Discrete Denoising Flows
A Lindt, E Hoogeboom
ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021
2021
Variational Determinant Estimation with Spherical Normalizing Flows
S Passenheim, E Hoogeboom
arXiv preprint arXiv:2012.13311, 2020
2020
Argmax Flows: Learning Categorical Distributions with Normalizing Flows
E Hoogeboom, D Nielsen, P Jaini, P Forré, M Welling
Third Symposium on Advances in Approximate Bayesian Inference, 2020
2020
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Articles 1–17