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Session

Section 3. Bayesian Deep Learning

21 Jul 2021, 13:00
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Conveners

Section 3. Bayesian Deep Learning: Bayesian linear regression

  • Nadya Chirkova

Section 3. Bayesian Deep Learning: Variational Inference & Bayesian Neural Networks

  • Ekaterina Lobacheva

Section 3. Bayesian Deep Learning: Bayesian Sparsification of Neural Networks

  • Nadya Chirkova

Section 3. Bayesian Deep Learning: Full Bayesian Inference

  • Ekaterina Lobacheva

Section 3. Bayesian Deep Learning: Gaussian Processes

  • Nadya Chirkova

Section 3. Bayesian Deep Learning: VAE

  • Sergey Troshin (Institute for High Energy Physics of NRC Kurchatov Institute (R)

Section 3. Bayesian Deep Learning: Intro

  • Ekaterina Lobacheva

Presentation materials

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