Jun Zhu

Jun Zhu

Professor of Computer Science, Tsinghua University
在 mail.tsinghua.edu.cn 的电子邮件经过验证
被引用次数：31874
Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning
Martin Renqiang Min

Martin Renqiang Min

Department of Machine Learning, NEC Laboratories America
在 nec-labs.com 的电子邮件经过验证
被引用次数：24219
Deep Learning Biomedical Informatics Representation Learning Deep Generative Models
Jian Tang (唐建）

Jian Tang (唐建）

Associate Professor, Mila-Quebec AI Institute, HEC Montréal, Canada CIFAR AI Chair
在 hec.ca 的电子邮件经过验证
被引用次数：21314
Geometric deep learning AI for molecule/protein design knowledge graphs deep generative models
Andreas Blattmann

Andreas Blattmann

Research Scientist, Stability AI; CS PhD student, LMU Munich
在 stability.ai 的电子邮件经过验证
被引用次数：11103
Computer Vision Machine Learning Deep Generative Models Video Synthesis Image Synthesis
David Wipf

David Wipf

Principal Research Scientist, Amazon Web Services
在 amazon.com 的电子邮件经过验证
被引用次数：10748
deep generative models sparse representations Bayesian inference graph neural networks
Xuezhe Ma

Xuezhe Ma

Information Sciences Institute, University of Southern California
在 usc.edu 的电子邮件经过验证
被引用次数：7770
Natural Language Processing Machine Learning Deep Generative Models Dependency Parsing
Huiwen Chang

Huiwen Chang

Research Scientist, OpenAI
在 google.com 的电子邮件经过验证
被引用次数：4696
Deep generative models
Yunchen Pu

Yunchen Pu

Research Scientist, Facebook
在 fb.com 的电子邮件经过验证
被引用次数：3209
Machine Learning Deep Learning Deep Generative Models natural language processing
Rocío Mercado

Rocío Mercado

Chalmers University of Technology
在 chalmers.se 的电子邮件经过验证
被引用次数：2139
molecular engineering machine learning deep generative models drug discovery materials discovery
Jes Frellsen

Jes Frellsen

Associate Professor, Technical University of Denmark (DTU)
在 dtu.dk 的电子邮件经过验证
被引用次数：1696
Deep Learning Deep generative models Statistical Machine Learning Directional Statistics Bioinformatics
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