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 Berg, M Welling
arXiv preprint arXiv:1901.11137, 2019
372019
HexaConv
E Hoogeboom, JWT Peters, TS Cohen, M Welling
arXiv preprint arXiv:1803.02108, 2018
282018
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
222019
Learning Likelihoods with Conditional Normalizing Flows
C Winkler, D Worrall, E Hoogeboom, M Welling
arXiv preprint arXiv:1912.00042, 2019
102019
Learning Discrete Distributions by Dequantization
E Hoogeboom, TS Cohen, JM Tomczak
arXiv preprint arXiv:2001.11235, 2020
32020
Predictive Sampling with Forecasting Autoregressive Models
AJ Wiggers, E Hoogeboom
arXiv preprint arXiv:2002.09928, 2020
22020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
D Nielsen, P Jaini, E Hoogeboom, O Winther, M Welling
arXiv preprint arXiv:2007.02731, 2020
12020
The Convolution Exponential and Generalized Sylvester Flows
E Hoogeboom, VG Satorras, JM Tomczak, M Welling
arXiv preprint arXiv:2006.01910, 2020
12020
Few-Shot Classification by Learning Disentangled Representations
E Hoogeboom
Msc, University of Amsterdam, 2017
12017
Method and device for digital image, audio or video data processing
E Hoogeboom, D Zhang, M Welling
US Patent App. 16/701,755, 2020
2020
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Articles 1–10