Scholar
Sebastian Kaltenbach
Google Scholar ID: Dr0CaboAAAAJ
Researcher, Harvard SEAS
AI4Science
Machine Learning
Probabilistic Modeling
Uncertainty Quantification
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Citations & Impact
All-time
Citations
206
H-index
7
i10-index
6
Publications
20
Co-authors
13
list available
Publications
8 items
A fully GPU-based workflow for building physics emulators of hypersonic flows
2026
Cited
0
Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
2026
Cited
0
Data-Driven Discovery of Interpretable Kalman Filter Variants through Large Language Models and Genetic Programming
2025
Cited
0
Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data
2025
Cited
0
Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning
2025
Cited
0
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
2025
Cited
0
Learning Effective Dynamics across Spatio-Temporal Scales of Complex Flows
2025
Cited
0
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning
2024
Cited
0
Co-authors
12 total
Petros Koumoutsakos
Harvard University
Phaedon-Stelios Koutsourelakis
Professorship of Data-driven Materials Modeling
Han Gao (高涵)
Iowa State University
Paris Perdikaris
University of Pennsylvania
Sergey Litvinov
Chair of Computational Science ETH Zurich
Michal Balcerak
University of Zurich | ETH AI
Emmanuel Menier
inria
Mouadh Yagoubi
Technology Innovation Institute (TII)
