Scholar
Alexandre Capone
Google Scholar ID: VD_C8GcAAAAJ
Postdoc, Carnegie Mellon University
Citations & Impact
Citations
395
H-index
11
i10-index
13
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Published a paper on Bayesian optimization with multi-scale models for nuclear fusion at ICML 2025; Another paper on bandit optimization for safe control was also accepted at ICML 2025. Has multiple publications in top journals and conferences such as IEEE Transactions on Automatic Control, NeurIPS, ICML, etc.
Research Experience
- Currently a postdoctoral research scientist at Carnegie Mellon University, working with Jeff Schneider.
Education
- PhD from Technical University of Munich, advised by Sandra Hirche; Visiting researcher at Caltech in 2022 with Aaron Ames.
Background
- Interested in various topics from machine learning and control theory, including reinforcement learning, uncertainty quantification, Bayesian optimization, and safe control. Applies research to autonomous driving, nuclear fusion, and other robotics-related topics.
