2025
Journal Articles
- Accelerating full waveform inversion by transfer learning. Computational Mechanics, 2025 more… BibTeX Full text ( DOI )
2024
Journal Articles
- Gradient-free training of recurrent neural networks. TBA, 2024 more… BibTeX Full text ( DOI )
- Solving partial differential equations with sampled neural networks. tba, 2024 more… BibTeX Full text ( DOI )
- On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them. PNAS Nexus 3 (12), 2024 more… BibTeX Full text ( DOI )
- A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM Journal on Scientific Computing 46 (2), 2024, A719-A743 more… BibTeX Full text ( DOI )
- Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator. Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (1), 2024 more… BibTeX Full text ( DOI )
- Multi-fidelity Gaussian process surrogate modeling for regression problems in physics. Machine Learning: Science and Technology 5 (4), 2024, 045015 more… BibTeX Full text ( DOI )
- Transformations establishing equivalence across neural networks: When have two networks learned the same task? Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (7), 2024 more… BibTeX Full text ( DOI )
Conference Papers / Poster
- Training Hamiltonian neural networks without backpropagation. NeurIPS 2024 Workshop on Machine Learning and the Physical Sciences, 2024 more… BibTeX
- Continuous-time neural networks for modeling linear dynamical systems. ICLR 2024, 2024 more… BibTeX Full text ( DOI )
- Uncertainty Quantification For Wheeled Locomotion Machine Learning Predictions On Soft Soil. Proceedings of the 21st International and 12th Asia-Pacific Regional Conference of the ISTVS, International Society for Terrain-Vehicle Systems, 2024 more… BibTeX Full text ( DOI )
2023
Journal Articles
- Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. Journal of Computational Physics 485, 2023, 112072 more… BibTeX Full text ( DOI )
- Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning. Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (2), 2023, 023121 more… BibTeX Full text ( DOI )
- Quantum process tomography of unitary maps from time-delayed measurements. Quantum Information Processing 22 (6), 2023 more… BibTeX Full text ( DOI )
- Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. Journal of Computational Physics 485, 2023, 112072 more… BibTeX Full text ( DOI )
Conference Papers
- Sampling weights of deep neural networks. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 more… BibTeX
Conference Papers / Poster
- Approximation of Response Surfaces from Partial Information. SIAM Conference on Computational Science and Engineering (CSE23), 2023 more… BibTeX
- Data-Driven Solver Selection for Sparse Linear Matrices at Scale. SIAM Conference on Computational Science and Engineering (CSE23), SIAM, 2023Amsterdam, The Netherlands more… BibTeX Full text (mediaTUM)
2022
Journal Articles
- Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM Journal on Mathematics of Data Science 4 (1), 2022, 410-430 more… BibTeX Full text ( DOI )
- Learning emergent partial differential equations in a learned emergent space. Nature Communications 13 (1), 2022 more… BibTeX Full text ( DOI )
- On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability. PNAS Nexus 1 (4), 2022 more… BibTeX Full text ( DOI )
- Learning the temporal evolution of multivariate densities via normalizing flows. Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (3), 2022, 033121 more… BibTeX Full text ( DOI )
- Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM Journal on Scientific Computing 44 (4), 2022, A1911-A1933 more… BibTeX Full text ( DOI )
Conference Papers / Poster
- Quantum Process Tomography from Time-Delayed Measurements. Dynamics Days Europe 2022, 2022 more… BibTeX
- Data-Driven Coarse-Graining of Agent-Based Models through Stochastic Differential Equations. 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022), 2022 more… BibTeX
2021
Journal Articles
- Modeling Melburnians - Using the Koopman operator to gain insight into crowd dynamics. Transportation Research Part C: Emerging Technologies 133, 2021, 103437 more… BibTeX Full text ( DOI )
Conference Papers / Poster
- Feature Extraction for Nonlinear System Control through Jointly Smooth Functions. SIAM Conference on Computational Science and Engineering, 2021 more… BibTeX
- Efficient Manifold Learning with Diffusion Maps. Joint Mathematics Meeting 2021, 2021 more… BibTeX
- Unitary quantum process tomography by time-delayed measurements. APS March Meeting 2021, 2021 more… BibTeX Full text (mediaTUM)
2020
Books / Contributions to Collections
- Exploring Koopman Operator Based Surrogate Models—Accelerating the Analysis of Critical Pedestrian Densities. In: Springer Proceedings in Physics. Springer International Publishing, 2020 more… BibTeX Full text ( DOI )
Journal Articles
- Manifold learning for organizing unstructured sets of process observations. Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (4), 2020, 043108 more… BibTeX Full text ( DOI )
- On the Koopman Operator of Algorithms. SIAM Journal on Applied Dynamical Systems 19 (2), 2020, 860-885 more… BibTeX Full text ( DOI )
- Efficient Quantification of Model Uncertainties When De-boarding a Train. Collective Dynamics 5, 2020, A477 more… BibTeX Full text ( DOI )
- datafold: data-driven models for point clouds and time series on manifolds. Journal of Open Source Software 5 (51), 2020, 2283 more… BibTeX Full text ( DOI )
- datafold: data-driven models for point clouds and time series on manifolds. Journal of Open Source Software 5 (51), 2020, 2283 more… BibTeX Full text ( DOI )
- A Geometric Approach to the Transport of Discontinuous Densities. SIAM/ASA Journal on Uncertainty Quantification 8 (3), 2020, 1012-1035 more… BibTeX Full text ( DOI )
- Local conformal autoencoder for standardized data coordinates. Proceedings of the National Academy of Sciences, 2020, 202014627 more… BibTeX Full text ( DOI )
Conference Papers / Poster
2019
Journal Articles
- On learning Hamiltonian systems from data. Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019, 121107 more… BibTeX Full text ( DOI )
2018
Journal Articles
- FAST AND FLEXIBLE UNCERTAINTY QUANTIFICATION THROUGH A DATA-DRIVEN SURROGATE MODEL. International Journal for Uncertainty Quantification 8 (2), 2018, 175-192 more… BibTeX Full text ( DOI )
2016
Journal Articles
- Numerical Model Construction with Closed Observables. SIAM J. Appl. Dyn. Syst. 15 (4), 2016, 2078-2108 more… BibTeX Full text ( DOI )
- The Superposition Principle: A Conceptual Perspective on Pedestrian Stream Simulations. Collective Dynamics 1, 2016, A2 more… BibTeX Full text ( DOI )
2015
Conference Papers / Poster
2014
Journal Articles
- Gradient navigation model for pedestrian dynamics. Physical Review E 89 (6), 2014 more… BibTeX Full text ( DOI )
- Bridging the Gap: From Cellular Automata to Differential Equation Models for Pedestrian Dynamics. Journal of Computational Science, 2014 more… BibTeX
- Gradient navigation model for pedestrian dynamics. Physical Review E 89, 2014, 62801 more… BibTeX
- Bridging the Gap: From Cellular Automata to Differential Equation Models for Pedestrian Dynamics. Journal of Computational Science, 2014 more… BibTeX
Conference Papers / Poster
- How Navigation According to a Distance Function Improves Pedestrian Motion in ODE-Based Models. Traffic and Granular Flow '13, Springer Science + Business Media, 2014, 55 - 62 more… BibTeX Full text ( DOI )