Rianne van den Berg

is this you? claim profile

0 followers

A Spectral Energy Distance for Parallel Speech Synthesis

Speech synthesis is an important practical generative modeling problem t...
08/03/2020 ∙ by Alexey A. Gritsenko, et al. ∙ 0 ∙ share

read it
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression

In this paper we analyse and improve integer discrete flows for lossless...
06/22/2020 ∙ by Rianne van den Berg, et al. ∙ 12 ∙ share

read it
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem

Scientific imaging techniques such as optical and electron microscopy an...
06/18/2019 ∙ by Karen Ullrich, et al. ∙ 8 ∙ share

read it
Integer Discrete Flows and Lossless Compression

Lossless compression methods shorten the expected representation size of...
05/17/2019 ∙ by Emiel Hoogeboom, et al. ∙ 7 ∙ share

read it
Emerging Convolutions for Generative Normalizing Flows

Generative flows are attractive because they admit exact likelihood opti...
01/30/2019 ∙ by Emiel Hoogeboom, et al. ∙ 23 ∙ share

read it
Predictive Uncertainty through Quantization

High-risk domains require reliable confidence estimates from predictive ...
10/12/2018 ∙ by Bastiaan S. Veeling, et al. ∙ 0 ∙ share

read it
Sinkhorn AutoEncoders

Optimal Transport offers an alternative to maximum likelihood for learni...
10/02/2018 ∙ by Giorgio Patrini, et al. ∙ 6 ∙ share

read it
Sylvester Normalizing Flows for Variational Inference

Variational inference relies on flexible approximate posterior distribut...
03/15/2018 ∙ by Rianne van den Berg, et al. ∙ 0 ∙ share

read it
Graph Convolutional Matrix Completion

We consider matrix completion for recommender systems from the point of ...
06/07/2017 ∙ by Rianne van den Berg, et al. ∙ 0 ∙ share

read it
Modeling Relational Data with Graph Convolutional Networks

Knowledge graphs enable a wide variety of applications, including questi...
03/17/2017 ∙ by Michael Schlichtkrull, et al. ∙ 0 ∙ share

read it

Rianne van den Berg

Featured Co-authors

Max Welling

Frank Nielsen

Ivan Titov

Tim Salimans

Jasper Snoek

Jakub M. Tomczak

Nal Kalchbrenner

Mostafa Dehghani

Leonard Hasenclever

Patrick Forré

Peter Bloem

A Spectral Energy Distance for Parallel Speech Synthesis

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression

Differentiable probabilistic models of scientific imaging with the Fourier slice theorem

Integer Discrete Flows and Lossless Compression

Emerging Convolutions for Generative Normalizing Flows

Predictive Uncertainty through Quantization

Sinkhorn AutoEncoders

Sylvester Normalizing Flows for Variational Inference

Graph Convolutional Matrix Completion

Modeling Relational Data with Graph Convolutional Networks