Sotabase

Career

· Senior Research Scientist, DeepMind
· Postdoctoral researcher, National University of Singapore
· Postdoctoral researcher, University of California, Berkeley
· Professor of Statistical Machine Learning, University of Oxford
· PhD in Computer Science, University of Toronto
· Bachelor in Computer Science and Math, University of Waterloo

Publications (326)

A Fast Learning Algorithm for Deep Belief Nets
Neural Computation · 2006
16,690
cited
Hierarchical Dirichlet Processes
2006
3,983
cited
Bayesian Learning via Stochastic Gradient Langevin Dynamics
International Conference on Machine Learning · 2011
2,928
cited
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
International Conference on Learning Representations · 2016
2,729
cited
Progress & Compress: A scalable framework for continual learning
International Conference on Machine Learning · 2018
976
cited
Inferring the effectiveness of government interventions against COVID-19
Science · 2020
884
cited
Do Deep Generative Models Know What They Don't Know?
International Conference on Learning Representations · 2018
823
cited
Conditional Neural Processes
International Conference on Machine Learning · 2018
790
cited
Augmented Neural ODEs
Neural Information Processing Systems · 2019
726
cited
On Smoothing and Inference for Topic Models
Conference on Uncertainty in Artificial Intelligence · 2009
610
cited
A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
Annual Meeting of the Association for Computational Linguistics · 2006
600
cited
Distral: Robust multitask reinforcement learning
Neural Information Processing Systems · 2017
593
cited
A fast and simple algorithm for training neural probabilistic language models
International Conference on Machine Learning · 2012
586
cited
Neural Processes
arXiv.org · 2018
574
cited
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
Neural Information Processing Systems · 2004
574
cited
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
International Conference on Machine Learning · 2020
500
cited
Attentive Neural Processes
International Conference on Learning Representations · 2019
493
cited
Names and faces in the news
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. · 2004
466
cited
Dirichlet Process
Encyclopedia of Machine Learning and Data Mining · 2017
345
cited
Disentangling Disentanglement in Variational Autoencoders
International Conference on Machine Learning · 2018
305
cited
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