Divya Shyam Singh; Leon Herrmann; Qing Sun; Tim Bürchner; Felix Dietrich; Stefan Kollmannsberger: Accelerating full waveform inversion by transfer learning. Computational Mechanics, 2025 mehr…BibTeX
Volltext (
DOI
)
2024
Zeitschriftenartikel
Bolager, Erik Lien; Cukarska, Ana; Burak, Iryna; Monfared, Zahra; Dietrich, Felix: Gradient-free training of recurrent neural networks. TBA, 2024 mehr…BibTeX
Volltext (
DOI
)
David W Sroczynski; Felix Dietrich; Eleni D. Koronaki; Ronen Talmon; Ronald R. Coifman; Erik Bollt; Ioannis G. Kevrekidis: On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them. PNAS Nexus 3 (12), 2024 mehr…BibTeX
Volltext (
DOI
)
Doncevic, Danimir T.; Mitsos, Alexander; Guo, Yue; Li, Qianxiao; Dietrich, Felix; Dahmen, Manuel; Kevrekidis, Ioannis G.: A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM Journal on Scientific Computing 46 (2), 2024, A719-A743 mehr…BibTeX
Volltext (
DOI
)
Ioannis K. Gallos; Daniel Lehmberg; Felix Dietrich; Constantinos Siettos: 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 mehr…BibTeX
Volltext (
DOI
)
Kislaya Ravi; Vladyslav Fediukov; Felix Dietrich; Tobias Neckel; Fabian Buse; Michael Bergmann; Hans-Joachim Bungartz: Multi-fidelity Gaussian process surrogate modeling for regression problems in physics. Machine Learning: Science and Technology 5 (4), 2024, 045015 mehr…BibTeX
Volltext (
DOI
)
Tom Bertalan; Felix Dietrich; Ioannis G. Kevrekidis: Transformations establishing equivalence across neural networks: When have two networks learned the same task? Chaos: An Interdisciplinary Journal of Nonlinear Science 34 (7), 2024 mehr…BibTeX
Volltext (
DOI
)
Konferenzbeiträge / Poster
Atamert Rahma; Chinmay Datar; Felix Dietrich: Training Hamiltonian neural networks without backpropagation. NeurIPS 2024 Workshop on Machine Learning and the Physical Sciences, 2024 mehr…BibTeX
Chinmay Datar; Adwait Datar; Felix Dietrich; Wil Schilders: Continuous-time neural networks for modeling linear dynamical systems. ICLR 2024, 2024 mehr…BibTeX
Volltext (
DOI
)
Vladyslav Fediukov; Felix Dietrich; Fabian Buse; Jana Huhne: 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 mehr…BibTeX
Volltext (
DOI
)
2023
Zeitschriftenartikel
Evangelou, Nikolaos; Dietrich, Felix; Chiavazzo, Eliodoro; Lehmberg, Daniel; Meila, Marina; Kevrekidis, Ioannis G.: Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. Journal of Computational Physics 485, 2023, 112072 mehr…BibTeX
Volltext (
DOI
)
Felix Dietrich; Alexei Makeev; George Kevrekidis; Nikolaos Evangelou; Tom Bertalan; Sebastian Reich; Ioannis G. Kevrekidis: 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 mehr…BibTeX
Volltext (
DOI
)
Irene López Gutiérrez; Felix Dietrich; Christian B. Mendl: Quantum process tomography of unitary maps from time-delayed measurements. Quantum Information Processing 22 (6), 2023 mehr…BibTeX
Volltext (
DOI
)
Nikolaos Evangelou; Felix Dietrich; Eliodoro Chiavazzo; Daniel Lehmberg; Marina Meila; Ioannis G. Kevrekidis: Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. Journal of Computational Physics 485, 2023, 112072 mehr…BibTeX
Volltext (
DOI
)
Konferenzbeiträge
Erik Lien Bolager; Iryna Burak; Chinmay Datar; Qing Sun; Felix Dietrich: Sampling weights of deep neural networks. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 mehr…BibTeX
Konferenzbeiträge / Poster
Felix Dietrich: Approximation of Response Surfaces from Partial Information. SIAM Conference on Computational Science and Engineering (CSE23), 2023 mehr…BibTeX
Hayden Liu Weng; Hans-Joachim Bungartz; Felix Dietrich: Data-Driven Solver Selection for Sparse Linear Matrices at Scale. SIAM Conference on Computational Science and Engineering (CSE23), SIAM, 2023Amsterdam, The Netherlandsmehr…BibTeX
Volltext (mediaTUM)
2022
Zeitschriftenartikel
Felix Dietrich; Or Yair; Rotem Mulayoff; Ronen Talmon; Ioannis G. Kevrekidis: Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM Journal on Mathematics of Data Science 4 (1), 2022, 410-430 mehr…BibTeX
Volltext (
DOI
)
Felix P. Kemeth; Tom Bertalan; Thomas Thiem; Felix Dietrich; Sung Joon Moon; Carlo R. Laing; Ioannis G. Kevrekidis: Learning emergent partial differential equations in a learned emergent space. Nature Communications 13 (1), 2022 mehr…BibTeX
Volltext (
DOI
)
Nikolaos Evangelos; Noah J. Wichrowski; George A. Kevrekidis; Felix Dietrich; Mahdi Kooshkbaghi; Sarah McFann; Ioannis G. Kevrekidis: On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability. PNAS Nexus 1 (4), 2022 mehr…BibTeX
Volltext (
DOI
)
Yubin Lu; Romit Maulik; Ting Gao; Felix Dietrich; Ioannis G. Kevrekidis; Jinqiao Duan: Learning the temporal evolution of multivariate densities via normalizing flows. Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (3), 2022, 033121 mehr…BibTeX
Volltext (
DOI
)
Yue Guo; Felix Dietrich; Tom Bertalan; Danimir T. Doncevic; Manuel Dahmen; Ioannis G. Kevrekidis; Qianxiao Li: Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM Journal on Scientific Computing 44 (4), 2022, A1911-A1933 mehr…BibTeX
Volltext (
DOI
)
Konferenzbeiträge / Poster
Felix Dietrich: Quantum Process Tomography from Time-Delayed Measurements. Dynamics Days Europe 2022, 2022 mehr…BibTeX
Felix Dietrich: 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 mehr…BibTeX
2021
Zeitschriftenartikel
Lehmberg, Daniel; Dietrich, Felix; Köster, Gerta: Modeling Melburnians - Using the Koopman operator to gain insight into crowd dynamics. Transportation Research Part C: Emerging Technologies 133, 2021, 103437 mehr…BibTeX
Volltext (
DOI
)
Konferenzbeiträge / Poster
Felix Dietrich: Feature Extraction for Nonlinear System Control through Jointly Smooth Functions. SIAM Conference on Computational Science and Engineering, 2021 mehr…BibTeX
Felix Dietrich: Efficient Manifold Learning with Diffusion Maps. Joint Mathematics Meeting 2021, 2021 mehr…BibTeX
Irene Lopez Gutierrez; Felix Dietrich; Christian B. Mendl: Unitary quantum process tomography by time-delayed measurements. APS March Meeting 2021, 2021 mehr…BibTeX
Volltext (mediaTUM)
2020
Bücher / Beiträge zu Sammelbänden
Lehmberg, Daniel; Dietrich, Felix; Kevrekidis, Ioannis G.; Bungartz, Hans-Joachim; Köster, Gerta: Exploring Koopman Operator Based Surrogate Models—Accelerating the Analysis of Critical Pedestrian Densities. In: Springer Proceedings in Physics. Springer International Publishing, 2020 mehr…BibTeX
Volltext (
DOI
)
Zeitschriftenartikel
Felix Dietrich; Mahdi Kooshkbaghi; Erik M. Bollt; Ioannis G. Kevrekidis: Manifold learning for organizing unstructured sets of process observations. Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (4), 2020, 043108 mehr…BibTeX
Volltext (
DOI
)
Felix Dietrich; Thomas N. Thiem; Ioannis G. Kevrekidis: On the Koopman Operator of Algorithms. SIAM Journal on Applied Dynamical Systems 19 (2), 2020, 860-885 mehr…BibTeX
Volltext (
DOI
)
Künzner, Florian; Neckel, Tobias; Bungartz, Hans-Joachim; Dietrich, Felix; Köster, Gerta: Efficient Quantification of Model Uncertainties When De-boarding a Train. Collective Dynamics 5, 2020, A477 mehr…BibTeX
Volltext (
DOI
)
Lehmberg, Daniel; Dietrich, Felix; Köster, Gerta; Bungartz, Hans-Joachim: datafold: data-driven models for point clouds and time series on manifolds. Journal of Open Source Software 5 (51), 2020, 2283 mehr…BibTeX
Volltext (
DOI
)
Lehmberg, Daniel; Dietrich, Felix; Köster, Gerta; Bungartz, Hans-Joachim: datafold: data-driven models for point clouds and time series on manifolds. Journal of Open Source Software 5 (51), 2020, 2283 mehr…BibTeX
Volltext (
DOI
)
Moosmüller, Caroline; Dietrich, Felix; Kevrekidis, Ioannis G.: A Geometric Approach to the Transport of Discontinuous Densities. SIAM/ASA Journal on Uncertainty Quantification 8 (3), 2020, 1012-1035 mehr…BibTeX
Volltext (
DOI
)
Peterfreund, Erez; Lindenbaum, Ofir; Dietrich, Felix; Bertalan, Tom; Gavish, Matan; Kevrekidis, Ioannis G.; Coifman, Ronald R.: Local conformal autoencoder for standardized data coordinates. Proceedings of the National Academy of Sciences, 2020, 202014627 mehr…BibTeX
Volltext (
DOI
)
Konferenzbeiträge / Poster
Dietrich, Felix; Kevrekidis, Ioannis G.; Talmon, Ronen; Yair, Or; Mulayoff, Rotem: Constructing effective parameters of dynamical systems using jointly smooth functions. Dynamics Days 2020, 2020 mehr…BibTeX
2019
Zeitschriftenartikel
Tom Bertalan; Felix Dietrich; Igor Mezić; Ioannis G. Kevrekidis: On learning Hamiltonian systems from data. Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (12), 2019, 121107 mehr…BibTeX
Volltext (
DOI
)
2018
Zeitschriftenartikel
Dietrich, Felix; Künzner, Florian; Neckel, Tobias; Köster, Gerta; Bungartz, Hans-Joachim: FAST AND FLEXIBLE UNCERTAINTY QUANTIFICATION THROUGH A DATA-DRIVEN SURROGATE MODEL. International Journal for Uncertainty Quantification 8 (2), 2018, 175-192 mehr…BibTeX
Volltext (
DOI
)
2016
Zeitschriftenartikel
Dietrich, Felix; Köster, Gerta; Bungartz, Hans-Joachim: Numerical Model Construction with Closed Observables. SIAM J. Appl. Dyn. Syst. 15 (4), 2016, 2078-2108 mehr…BibTeX
Volltext (
DOI
)
Seitz, Michael J.; Dietrich, Felix; Köster, Gerta; Bungartz, Hans-Joachim: The Superposition Principle: A Conceptual Perspective on Pedestrian Stream Simulations. Collective Dynamics 1, 2016, A2 mehr…BibTeX
Volltext (
DOI
)
2015
Konferenzbeiträge / Poster
Dietrich, Felix; Köster, Gerta: How navigation according to a distance function improves pedestrian motion in ODE-based models. Traffic and Granular Flow '13, Springer International Publishing, 2015 mehr…BibTeX
2014
Zeitschriftenartikel
Dietrich, Felix ; Köster, Gerta: Gradient navigation model for pedestrian dynamics. Physical Review E 89 (6), 2014 mehr…BibTeX
Volltext (
DOI
)
Dietrich, Felix ; Köster, Gerta ; Seitz, Michael ; Sivers, Isabella von: Bridging the Gap: From Cellular Automata to Differential Equation Models for Pedestrian Dynamics. Journal of Computational Science, 2014 mehr…BibTeX
Dietrich, Felix; Köster, Gerta: Gradient navigation model for pedestrian dynamics. Physical Review E 89, 2014, 62801 mehr…BibTeX
Dietrich, Felix; Köster, Gerta; Seitz, Michael; von Sivers, Isabella: Bridging the Gap: From Cellular Automata to Differential Equation Models for Pedestrian Dynamics. Journal of Computational Science, 2014 mehr…BibTeX
Konferenzbeiträge / Poster
Dietrich, Felix ; Köster, Gerta: 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 mehr…BibTeX
Volltext (
DOI
)
2013
Zeitschriftenartikel
Pellett, Patrina A.; Dietrich, Felix; Bewersdorf, Jörg; Rothman, James E.; Lavieu, Grégory: Inter-Golgi transport mediated by COPI-containing vesicles carrying small cargoes. eLife 2, 2013, e01296 mehr…BibTeX
Konferenzbeiträge / Poster
Dietrich, Felix; Köster, Gerta; Michael, Seitz; von Sivers, Isabella: Bridging the Gap: From Cellular Automata to Differential Equation Models for Pedestrian Dynamics. Parallel Processing and Applied Mathematics 2013, Springer, 2013 mehr…BibTeX
