プロフィール

David Duvenaud

Associate Professor, University of Toronto

確認したメールアドレス: cs.toronto.edu

被引用数: 31027

Deep Learning Differential Equations Approximate Inference

Danilo J. Rezende

Director at DeepMind

確認したメールアドレス: google.com

被引用数: 30943

Approximate Inference Generative Models AI for Science

David Sontag

Professor, Massachusetts Institute of Technology

確認したメールアドレス: csail.mit.edu

被引用数: 20235

Machine Learning Healthcare Artificial Intelligence Large Language Models Approximate Inference

Wee Sun Lee

Professor, Department of Computer Science, National University of Singapore

確認したメールアドレス: comp.nus.edu.sg

被引用数: 19261

Machine Learning Planning Under Uncertainty Approximate Inference

José Miguel Hernández-Lobato

Professor of Machine Learning, University of Cambridge

確認したメールアドレス: cam.ac.uk

被引用数: 16536

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

Qiang Liu

Associate Professor of Computer Science, UT Austin

確認したメールアドレス: cs.utexas.edu

被引用数: 11569

Machine learning graphical models approximate inference reinforcement learning crowdsourcing

James Hensman

Microsoft Research

確認したメールアドレス: microsoft.com

被引用数: 7615

machine learning probabilistic modelling biostatistics Gaussian processes approximate inference

Christos Louizos

Qualcomm AI Research

確認したメールアドレス: qti.qualcomm.com

被引用数: 5930

Machine Learning Approximate Inference Graphical models Deep Learning

Miguel Lázaro-Gredilla

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

確認したメールアドレス: deepmind.com

被引用数: 4131

AGI RL machine learning approximate inference

Francisco JR Ruiz

Research Scientist at Deepmind

確認したメールアドレス: google.com

被引用数: 3608

machine learning approximate inference variational methods bayesian non parametrics

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