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Riccardo De Santi
Observed names:
De Santi, Riccardo,
de Santi, Riccardo
Institution:
ETH Zurich
Observed institution:
ETH Zurich
OpenAlex ID:
A5052185248
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
2023
·
Mirco Mutti
, Riccardo De Santi
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
12
PDF
The Importance of Non-Markovianity in Maximum State Entropy Exploration
2022
·
Mutti, Mirco
, De Santi, Riccardo
, et al.
·
arXiv (Cornell University)
·
11
PDF
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction
2024
·
De Santi, Riccardo
, Joseph, Federico Arangath
, et al.
·
arXiv (Cornell University)
·
7
PDF
Provable Maximum Entropy Manifold Exploration via Diffusion Models
2025
·
De Santi, Riccardo
, Vlastelica, Marin
, et al.
·
arXiv (Cornell University)
·
6
PDF
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods
2024
·
De Santi, Riccardo
, Prajapat, Manish
, et al.
·
arXiv (Cornell University)
·
6
PDF
Challenging Common Assumptions in Convex Reinforcement Learning
2022
·
Mirco Mutti
, Riccardo De Santi
, et al.
·
neural information processing systems
·
6
PDF
Efficient Tail-Aware Generative Optimization via Flow Model Fine-Tuning
2026
·
Wang, Zifan
, De Santi, Riccardo
, et al.
·
arXiv (Cornell University)
·
5
PDF
Landing with the Score: Riemannian Optimization through Denoising
2025
·
Kharitenko, Andrey
, Shen, Zebang
, et al.
·
arXiv (Cornell University)
·
3
PDF
Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules
2026
·
De Santi, Riccardo
, Lee, Bruce
, et al.
·
arXiv (Cornell University)
·
2
PDF
Verifier-Constrained Flow Expansion for Discovery Beyond the Data
2026
·
De Santi, Riccardo
, Protopapas, Kimon
, et al.
·
arXiv (Cornell University)
·
2
PDF
A Unified Density Operator View of Flow Control and Merging
2026
·
De Santi, Riccardo
, Franke, Malte
, et al.
·
arXiv (Cornell University)
·
2
PDF
Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning
2025
·
Riccardo De Santi
, Marin Vlastelica
, et al.
·
neural information processing systems
·
2
PDF
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
2023
·
Mutti, Mirco
, De Santi, Riccardo
, et al.
·
arXiv (Cornell University)
·
2
PDF
Case Study of Bayesian Batch Optimization Strategies for Heterogeneous Catalysts in CO2 Hydrogenation
2026
·
Erwin Lam
, Kourosh Shariat
, et al.
·
ACS Catalysis
·
1
Constrained Flow Optimization via Sequential Fine Tuning for Molecular Design
2026
·
Gutjahr, Sven
, De Santi, Riccardo
, et al.
·
arXiv (Cornell University)
·
1
PDF
Multi-Objective Generative Optimization via Expected Hypervolume Fine-Tuning
2026
·
Guevara, Juan
, De Santi, Riccardo
, et al.
·
arXiv (Cornell University)
LLM-to-Flow Distillation: Teaching Natural Language Goals to Scientific Generators
2026
·
De Santi, Riccardo
, Di Gennaro, Federico
, et al.
·
arXiv (Cornell University)
PDF
Case Study of Bayesian Batch Optimization Strategies for Heterogeneous Catalysts in CO2 Hydrogenation
2026
·
Erwin Lam
, Kourosh Shariat
, et al.
·
ChemRxiv
Case Study of Bayesian Batch Optimization Strategies for Heterogeneous Catalysts in CO2 Hydrogenation
2026
·
Erwin Lam
, Kourosh Shariat
, et al.
·
ChemRxiv
On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization
2026
·
Chen, Trevor
, Dai, Ariel
, et al.
·
arXiv (Cornell University)
PDF
Comparative Study of Bayesian Optimization Strategies for Batch Optimization of Heterogeneous Catalysts in CO2 Hydrogenation
2026
·
Erwin Lam
, Kourosh Shariat
, et al.
·
ChemRxiv
Efficient Personalization of Generative Models via Optimal Experimental Design
2025
·
Schacht, Guy
, Sheebaelhamd, Ziyad
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
22
Citation count:
68
H-index:
6
I10-index:
2
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