Rianne van den Berg

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Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent

We focus on the problem of domain adaptation when the goal is shifting t...
06/10/2021 ∙ by Samira Abnar, et al. ∙ 7 ∙ share

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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. ∙ 3 ∙ share

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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

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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

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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

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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

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Predictive Uncertainty through Quantization

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

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Sinkhorn AutoEncoders

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

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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

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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

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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

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Rianne van den Berg

Featured Co-authors

Max Welling

Frank Nielsen

Ivan Titov

Jakub M. Tomczak

Jasper Snoek

Mostafa Dehghani

Tim Salimans

Nal Kalchbrenner

Patrick Forré

Hanie Sedghi

Leonard Hasenclever

Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent

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