Perfis

David Duvenaud

Associate Professor, University of Toronto

E-mail confirmado em cs.toronto.edu

Citado por 34910

Deep Learning Differential Equations Approximate Inference

David Sontag

Professor, Massachusetts Institute of Technology

E-mail confirmado em csail.mit.edu

Citado por 21262

Machine Learning Healthcare Artificial Intelligence Large Language Models Approximate Inference

Wee Sun Lee

Professor, Department of Computer Science, National University of Singapore

E-mail confirmado em comp.nus.edu.sg

Citado por 19651

Machine Learning Planning Under Uncertainty Approximate Inference

José Miguel Hernández-Lobato

Professor of Machine Learning, University of Cambridge

E-mail confirmado em cam.ac.uk

Citado por 17596

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

Qiang Liu

Associate Professor of Computer Science, UT Austin

E-mail confirmado em cs.utexas.edu

Citado por 12665

Machine learning graphical models approximate inference reinforcement learning crowdsourcing

James Hensman

Microsoft Research

E-mail confirmado em microsoft.com

Citado por 8047

machine learning probabilistic modelling biostatistics Gaussian processes approximate inference

Christos Louizos

Qualcomm AI Research

E-mail confirmado em qti.qualcomm.com

Citado por 6292

Machine Learning Approximate Inference Graphical models Deep Learning

Miguel Lázaro-Gredilla

Research @ Google DeepMind. Ex VP of research @ Vicarious AI.

E-mail confirmado em deepmind.com

Citado por 4275

AGI RL machine learning approximate inference

Francisco JR Ruiz

Research Scientist at Deepmind

E-mail confirmado em google.com

Citado por 3819

machine learning approximate inference variational methods bayesian non parametrics

Adam R. Kosiorek

Senior Research Scientist, Google DeepMind

E-mail confirmado em google.com

Citado por 3391

artificial Intelligence neural computation approximate inference neural networks

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