Michal Pavelka

Orcid: 0000-0003-0605-6737

According to our database1, Michal Pavelka authored at least 11 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Nonlinear GENERIC Informed Neural Networks (N-GINNs): learning GENERIC dynamics with non-quadratic dissipation potentials.
CoRR, May, 2026

2025
Assignment-Routing Optimization: Solvers for Problems Under Constraints.
CoRR, December, 2025

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023
Globally time-reversible fluid simulations with smoothed particle hydrodynamics.
Comput. Phys. Commun., 2023

Unified description of fluids and solids in Smoothed Particle Hydrodynamics.
Appl. Math. Comput., 2023

2022
Theoretical Analysis of Rolling Fluid Turbines.
SIAM J. Appl. Math., 2022

2020
Dynamic and Renormalization-Group Extensions of the Landau Theory of Critical Phenomena.
Entropy, 2020

Learning Physics from Data: A Thermodynamic Interpretation.
Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

2019
Dynamic Maximum Entropy Reduction.
Entropy, 2019

Lifts of Symmetric Tensors: Fluids, Plasma, and Grad Hierarchy.
Entropy, 2019

2018
Thermodynamic Explanation of Landau Damping by Reduction to Hydrodynamics.
Entropy, 2018


  Loading...