Profiles

Danilo J. Rezende

Director at DeepMind

Verified email at google.com

Cited by 28909

Approximate Inference Generative Models AI for Science

David Duvenaud

Associate Professor, University of Toronto

Verified email at cs.toronto.edu

Cited by 28355

Deep Learning Differential Equations Approximate Inference

David Sontag

Professor, Massachusetts Institute of Technology

Verified email at csail.mit.edu

Cited by 18840

Machine Learning Healthcare Artificial Intelligence Graphical Models Approximate Inference

Wee Sun Lee

Professor, Department of Computer Science, National University of Singapore

Verified email at comp.nus.edu.sg

Cited by 18581

Machine Learning Planning Under Uncertainty Approximate Inference

José Miguel Hernández-Lobato

Professor of Machine Learning, University of Cambridge

Verified email at cam.ac.uk

Cited by 15258

Bayesian deep learning approximate inference deep generative modeling automatic molecular design reinforcement learning

Qiang Liu

Assistant Professor of Computer Science, UT Austin

Verified email at cs.utexas.edu

Cited by 10220

Machine learning graphical models approximate inference reinforcement learning crowdsourcing

James Hensman

Microsoft Research

Verified email at microsoft.com

Cited by 7107

machine learning probabilistic modelling biostatistics Gaussian processes approximate inference

Christos Louizos

Qualcomm AI Research

Verified email at qti.qualcomm.com

Cited by 5489

Machine Learning Approximate Inference Graphical models Deep Learning

Miguel Lázaro-Gredilla

VP of research, Vicarious AI

Verified email at vicarious.com

Cited by 3949

Machine learning artificial intelligence Bayesian models large scale learning approximate inference

Francisco JR Ruiz

Research Scientist at Deepmind

Verified email at google.com

Cited by 3276

machine learning approximate inference variational methods bayesian non parametrics

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