Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics
arXiv preprint arXiv:2601.22123
Publications
Last update: 2026-02-27
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2026
2025
Enhancing Diffusion Models Efficiency by Disentangling Total-Variance and Signal-to-Noise Ratio
arXiv preprint arXiv:2502.08598
Nonequilibrium universality of Rydberg-excitation spreading on a dynamic network
Physical Review Research
Sampling 3D Molecular Conformers with Diffusion Transformers
Proceedings of NeurIPS 2025
2024
Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation
Proceedings of ECML 2024
2023
Simulating the Temperature-Dependent Absorbing-State Phase Transition in a Rydberg Many-Body Facilitated Gas using Neural Networks
APS Division of Atomic, Molecular and Optical Physics Meeting Abstracts
Multiscale Neural Operators for Solving Time-Independent PDEs
NeurIPS 2023 Workshop on the Symbiosis of Deep Learning and Differential Equations III
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Proceedings of NeurIPS 2023
2022
Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks
ICML 2022 2nd AI for Science Workshop
WISE: Whitebox Image Stylization by Example-Based Learning
European Conference on Computer Vision (ECCV)
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks
ICML 2022 2nd AI for Science Workshop
2021
Learning languages with decidable hypotheses
Connecting with Computability: 17th Conference on Computability in Europe, CiE 2021
2020
Maps for Learning Indexable Classes
arXiv preprint arXiv:2010.09460
3D Self-Supervised Methods for Medical Imaging
Proceedings of NeurIPS 2020
2018
Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms
Bachelor Thesis, University of Chemnitz
2017
2016
Who wrote the web? Revisiting influential author identification research applicable to information retrieval
Advances in Information Retrieval: 38th European Conference on IR Research