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Author Information
Andreas Kirsch (University of Oxford)
AIMS DPhil at University of Oxford, currently in 2nd year/4 (first paper: http://batchbald.ml) DeepMind: performance research engineer for 1 year Google: software engineer for 3 years MSc CompSci, BSc CompSci, BSc Maths at TU Munich
Joost van Amersfoort (University of Oxford)
I am currently pursuing a PhD at the Unversity of Oxford under supervision of Professor Yarin Gal (in OATML) and Professor Yee Whye Teh (in OxCSML). I am interested in variational inference (for example done through the reparametrisation trick, dropout and reversible models) and its applications such as uncertainty estimation, active learning and generative modelling. Previously, I was a research engineer at Twitter Cortex, where I worked on large scale video models and recommendation systems. I did my masters at the University of Amsterdam, where I worked with Dr. Durk Kingma and Professor Max Welling. I've also done an internship at Facebook AI Research (FAIR).
Yarin Gal (University of Oxford)
More from the Same Authors
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2020 Meetup: MeetUp: Oxford, UK »
Yarin Gal -
2020 Poster: Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations »
Sebastian Farquhar · Lewis Smith · Yarin Gal -
2020 Poster: A Bayesian Perspective on Training Speed and Model Selection »
Clare Lyle · Lisa Schut · Robin Ru · Yarin Gal · Mark van der Wilk -
2020 Poster: Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models »
Andrew Jesson · Sören Mindermann · Uri Shalit · Yarin Gal -
2020 Poster: How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? »
Mrinank Sharma · Sören Mindermann · Jan Brauner · Gavin Leech · Anna Stephenson · Tomáš Gavenčiak · Jan Kulveit · Yee Whye Teh · Leonid Chindelevitch · Yarin Gal -
2020 Spotlight: How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19? »
Mrinank Sharma · Sören Mindermann · Jan Brauner · Gavin Leech · Anna Stephenson · Tomáš Gavenčiak · Jan Kulveit · Yee Whye Teh · Leonid Chindelevitch · Yarin Gal -
2019 Workshop: Bayesian Deep Learning »
Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Eric Nalisnick · Zoubin Ghahramani · Kevin Murphy · Max Welling -
2018 Workshop: Bayesian Deep Learning »
Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Zoubin Ghahramani · Kevin Murphy · Max Welling -
2017 Workshop: Bayesian Deep Learning »
Yarin Gal · José Miguel Hernández-Lobato · Christos Louizos · Andrew Wilson · Andrew Wilson · Diederik Kingma · Zoubin Ghahramani · Kevin Murphy · Max Welling -
2017 Poster: Concrete Dropout »
Yarin Gal · Jiri Hron · Alex Kendall -
2017 Poster: What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? »
Alex Kendall · Yarin Gal -
2017 Spotlight: What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? »
Alex Kendall · Yarin Gal -
2017 Poster: Real Time Image Saliency for Black Box Classifiers »
Piotr Dabkowski · Yarin Gal -
2016 Workshop: Bayesian Deep Learning »
Yarin Gal · Christos Louizos · Zoubin Ghahramani · Kevin Murphy · Max Welling -
2016 Poster: A Theoretically Grounded Application of Dropout in Recurrent Neural Networks »
Yarin Gal · Zoubin Ghahramani -
2014 Poster: Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models »
Yarin Gal · Mark van der Wilk · Carl Edward Rasmussen