
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...
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A Spectral Energy Distance for Parallel Speech Synthesis
Speech synthesis is an important practical generative modeling problem t...
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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...
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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...
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Integer Discrete Flows and Lossless Compression
Lossless compression methods shorten the expected representation size of...
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Emerging Convolutions for Generative Normalizing Flows
Generative flows are attractive because they admit exact likelihood opti...
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Predictive Uncertainty through Quantization
Highrisk domains require reliable confidence estimates from predictive ...
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Sinkhorn AutoEncoders
Optimal Transport offers an alternative to maximum likelihood for learni...
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Sylvester Normalizing Flows for Variational Inference
Variational inference relies on flexible approximate posterior distribut...
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Graph Convolutional Matrix Completion
We consider matrix completion for recommender systems from the point of ...
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Modeling Relational Data with Graph Convolutional Networks
Knowledge graphs enable a wide variety of applications, including questi...
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Rianne van den Berg
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