Publications
My preprints can be found on arXiv.
Preprints
MRX: A Differentiable 3D MHD Equilibrium Solver Without Nested Flux Surfaces
T. Blickhan, J. Stratton, A. A. Kaptanoglu
arXiv preprint, 2025 (v2 2026)
| π Project Page | π arXiv | π» Code |
Leveraging Gauge Freedom for Learning Non-Gradient Population Dynamics of Stochastic Systems
J. Berman, T. Blickhan, B. Peherstorfer
arXiv preprint, 2026
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Computational Boundary Specification in 3D Fixed-Boundary Magnetohydrodynamic Equilibrium Modeling
A. A. Kaptanoglu, T. Blickhan
arXiv preprint, 2026
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DICE: Discrete Inverse Continuity Equation for Learning Population Dynamics
T. Blickhan, J. Berman, A. Stuart, B. Peherstorfer
Submitted to Journal of Machine Learning Research
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Peer-Reviewed Publications
Two-Parameter Flows for Learning Population Dynamics of Physical Systems
P. Schwerdtner, T. Blickhan, B. Peherstorfer
ICML 2026
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Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems
J. Berman, T. Blickhan, B. Peherstorfer
ICML 2026
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Parametric Model Reduction of Mean-Field and Stochastic Systems via Higher-Order Action Matching
T. Blickhan, J. Berman, B. Peherstorfer
NeurIPS 2024
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A Registration Method for Reduced Basis Problems Using Linear Optimal Transport
T. Blickhan
SIAM Journal on Scientific Computing, 2024
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Wasserstein Model Reduction Approach for Parametrized Flow Problems in Porous Media
B. Battisti, T. Blickhan, G. Enchery, V. Ehrlacher, D. Lombardi, O. Mula
ESAIM: Proceedings and Surveys, 2023
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Thesis
Reduced Basis Methods for Problems with Moving Features
T. Blickhan
PhD Thesis, Technische UniversitΓ€t MΓΌnchen, 2024