Scholar
Riccardo De Santi
Google Scholar ID: K7qyOj0AAAAJ
ETH AI Center
Citations & Impact
Citations
152
H-index
6
i10-index
4
Publications
13
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- 1. 'Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning' accepted as a Spotlight at NeurIPS 2025.
- 2. 'Provable Maximum Entropy Manifold Exploration via Diffusion Models' accepted at ICML 2025.
- 3. 'The Importance of Non-Markovianity in Maximum State Entropy Exploration' received the Outstanding Paper Award at ICML 2022.
Research Experience
- Before joining ETH, he worked on unsupervised exploration in RL, earning an Outstanding Paper Award at ICML with Marcello Restelli, and visited Michael Bronstein at the University of Oxford and Imperial College London.
Education
- PhD student at the ETH AI Center, advised by Andreas Krause, Niao He, and Kjell Jorner. Affiliated with the Institute of Machine Learning and NCCR Catalysis.
Background
- PhD student at the ETH AI Center, focusing on generative optimization and exploration for large-scale scientific discovery. His research bridges decision-making under uncertainty, optimization, and generative modeling, with applications in enzyme design for sustainable chemistry.
Miscellany
- Contacts: rdesanti@ethz.ch | Google Scholar | Twitter | LinkedIn | Github
