Jack Dunger

Jack Dunger

Google DeepMind
在 google.com 的电子邮件经过验证
被引用次数：1282
Machine Learning for Science
Ye Wei

Ye Wei

École Polytechnique Fédérale de Lausanne (EPFL)
在 epfl.ch 的电子邮件经过验证
被引用次数：738
Machine Learning for Science Optimization
Weichi Yao

Weichi Yao

AI in Science Postdoctral Research Fellows, University of Michigan
在 umich.edu 的电子邮件经过验证
被引用次数：314
Machine learning for science Generative modeling
Luca Thiede

Luca Thiede

University of Toronto
在 mail.utoronto.ca 的电子邮件经过验证
被引用次数：224
Machine Learning for Science Reinforcement Learning Generative Models
Marvin Schmitt

Marvin Schmitt

Cluster of Excellence SimTech, University of Stuttgart
在 simtech.uni-stuttgart.de 的电子邮件经过验证
被引用次数：80
Probabilistic Machine Learning Machine Learning for Science Uncertainty Quantification Robustness
Nilin Abrahamsen

Nilin Abrahamsen

University of California, Berkeley
在 alum.MIT.edu 的电子邮件经过验证
被引用次数：52
machine learning for science
Takashi Maruyama

Takashi Maruyama

NEC Laboratories Europe
在 neclab.eu 的电子邮件经过验证
被引用次数：47
mathematics machine learning for science
Gianmarco Gabrieli

Gianmarco Gabrieli

IBM Research Europe - Zurich
在 zurich.ibm.com 的电子邮件经过验证
被引用次数：33
Artificial Intelligence Chemical Sensors Machine Learning for Science
David Heurtel-Depeiges

David Heurtel-Depeiges

Masters' student, Ecole Normale Supérieure Paris-Saclay
在 polytechnique.edu 的电子邮件经过验证
被引用次数：2
Machine Learning Deep Learning Machine Learning for Science
Jan Hagnberger

Jan Hagnberger

University of Stuttgart
在 stud.uni-stuttgart.de 的电子邮件经过验证
被引用次数：2
Machine Learning for Science Deep Learning Partial Differential Equations
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