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Q & A
Karen Ullrich · Yibo Yang · Stephan Mandt
Author Information
Karen Ullrich (Meta AI)
I am a research scientist (s/h) at FAIR NY and am actively collaborating with researchers from the Vector Institute and the UoAmsterdam. My main research focus lies in the intersection of information theory and probabilistic machine learning / deep learning 💜. I previously completed a PhD under the supervision of Prof. Max Welling. Prior to that, I worked at the Austrian Research Institute for AI, Intelligent Music Processing and Machine Learning Group lead by Prof. Gerhard Widmer. I studied Physics and Numerical Simulations in Leipzig and Amsterdam.
Yibo Yang (University of California, Irivine)
Stephan Mandt (University of California, Irvine)
More from the Same Authors
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2021 Spotlight: Lossy Compression for Lossless Prediction »
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2021 : Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs »
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2021 : Structured Stochastic Gradient MCMC: a hybrid VI and MCMC approach »
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2021 : Your Dataset is a Multiset and You Should Compress it Like One »
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2022 : Probabilistic Querying of Continuous-Time Sequential Events »
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2022 : An Unsupervised Learning Perspective on the Dynamic Contribution to Extreme Precipitation Changes »
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2022 : An optimal control perspective on diffusion-based generative modeling »
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2022 Tutorial: Data Compression with Machine Learning »
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2022 : Tutorial part 1 »
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2022 Poster: Predictive Querying for Autoregressive Neural Sequence Models »
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2021 : Your Dataset is a Multiset and You Should Compress it Like One »
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2021 Poster: Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning »
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2021 Poster: Lossy Compression for Lossless Prediction »
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2020 : Q/A and Discussion for ML Theory Session »
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2020 : Stephan Mandt »
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2020 Poster: Improving Inference for Neural Image Compression »
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2017 Poster: Bayesian Compression for Deep Learning »
Christos Louizos · Karen Ullrich · Max Welling