Sebastian Kaltenbach

Orcid: 0000-0002-4261-7282

According to our database1, Sebastian Kaltenbach authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations.
CoRR, 2024

A Learnable Prior Improves Inverse Tumor Growth Modeling.
CoRR, 2024

Generative Learning for Forecasting the Dynamics of Complex Systems.
CoRR, 2024

Closure Discovery for Coarse-Grained Partial Differential Equations using Multi-Agent Reinforcement Learning.
CoRR, 2024

2023
Physics-aware, probabilistic machine learning in the Small Data regime.
PhD thesis, 2023

Interpretable learning of effective dynamics for multiscale systems.
CoRR, 2023

Interpretable reduced-order modeling with time-scale separation.
CoRR, 2023

2022
Semi-supervised Invertible DeepONets for Bayesian Inverse Problems.
CoRR, 2022

2021
Physics-enhanced Neural Networks in the Small Data Regime.
CoRR, 2021

Physics-aware, probabilistic model order reduction with guaranteed stability.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Incorporating physical constraints in a deep probabilistic machine learning framework for coarse-graining dynamical systems.
J. Comput. Phys., 2020


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