Scholar
Robert Pinsler
Google Scholar ID: lkmtv9QAAAAJ
Microsoft Research
Citations & Impact
Citations
1,221
H-index
8
i10-index
8
Publications
14
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Published papers such as 'Symmetry-Aware Actor-Critic for 3D Molecular Design' (ICLR 2021), 'Reinforcement Learning for Molecular Design Guided by Quantum Mechanics' (ICML 2020), and 'Bayesian Batch Active Learning as Sparse Subset Approximation' (NeurIPS 2019).
Research Experience
- Research Intern at Amazon, AWS AI Platform, starting from June 2020.
Education
- PhD in Machine Learning at the University of Cambridge, expected to graduate in 2021/2022, supervised by Prof. Carl E. Rasmussen and advised by Dr. José Miguel Hernández-Lobato; MSc in Computer Science from TU Darmstadt, 2017; BSc in Business Informatics from DHBW Mannheim, 2014.
Background
- Research interests include reinforcement learning, active learning, and Bayesian deep learning. He is also interested in applying machine learning to problems in science and engineering. His work revolves around two themes: reasoning about uncertainty and exploiting prior knowledge.
