Personal information

Biography

Felix Dietrich received his PhD in 2017 from the Mathematics department of the Technical University of Munich. Between 2017 and 2019, he was a postdoctoral fellow at Johns Hopkins University, and a Visiting Research Collaborator at Princeton University, and is now a research group leader in the school of CIT of the Technical University of Munich. Dr. Dietrich works on method development for machine learning, problems in the numerical analysis of many-particle systems, and approximation of linear operators on point clouds.

Activities

Works (35)

Multi-fidelity Gaussian process surrogate modeling for regression problems in physics

Machine Learning: Science and Technology
2024-12-01 | Journal article
Contributors: Kislaya Ravi; Vladyslav Fediukov; Felix Dietrich; Tobias Neckel; Fabian Buse; Michael Bergmann; Hans-Joachim Bungartz
Source: check_circle
Crossref

On learning what to learn: Heterogeneous observations of dynamics and establishing possibly causal relations among them

PNAS Nexus
2024-11-28 | Journal article
Contributors: David W Sroczynski; Felix Dietrich; Eleni D Koronaki; Ronen Talmon; Ronald R Coifman; Erik Bollt; Ioannis G Kevrekidis; Doraiswami Ramkrishna
Source: check_circle
Crossref

Transformations establishing equivalence across neural networks: When have two networks learned the same task?

Chaos: An Interdisciplinary Journal of Nonlinear Science
2024-07-01 | Journal article
Contributors: Tom Bertalan; Felix Dietrich; Ioannis G. Kevrekidis
Source: check_circle
Crossref

A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms

SIAM Journal on Scientific Computing
2024-04-30 | Journal article
Contributors: Danimir T. Doncevic; Alexander Mitsos; Yue Guo; Qianxiao Li; Felix Dietrich; Manuel Dahmen; Ioannis G. Kevrekidis
Source: check_circle
Crossref

Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator

Chaos: An Interdisciplinary Journal of Nonlinear Science
2024-01-01 | Journal article
Contributors: Ioannis K. Gallos; Daniel Lehmberg; Felix Dietrich; Constantinos Siettos
Source: check_circle
Crossref

Learning effective SDEs from Brownian dynamic simulations of colloidal particles

Molecular Systems Design & Engineering
2023 | Journal article
Contributors: Nikolaos Evangelou; Felix Dietrich; Juan M. Bello-Rivas; Alex J. Yeh; Rachel S. Hendley; Michael A. Bevan; Ioannis G. Kevrekidis
Source: check_circle
Crossref

On the use of neural networks for full waveform inversion

Computer Methods in Applied Mechanics and Engineering
2023-10 | Journal article
Contributors: Leon Herrmann; Tim Bürchner; Felix Dietrich; Stefan Kollmannsberger
Source: check_circle
Crossref

FAIR Research Data With NOMAD

Proceedings of the Conference on Research Data Infrastructure
2023-09-07 | Journal article | Author
Part of ISSN: 2941-296X
Contributors: Markus Scheidgen; Sebastian Brückner; Sandor Brockhauser; Luca M. Ghiringhelli; Felix Dietrich; Ahmed E. Mansour; Jose Antonio Marquez Prieto; Martin Albrecht; Heiko B. Weber; Silvana Botti et al.
Source: check_circle
TIB Open Publishing
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Preferred source (of 2)‎

Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning

Chaos: An Interdisciplinary Journal of Nonlinear Science
2023-02 | Journal article
Contributors: Felix Dietrich; Alexei Makeev; George Kevrekidis; Nikolaos Evangelou; Tom Bertalan; Sebastian Reich; Ioannis G. Kevrekidis
Source: check_circle
Crossref

On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiability

PNAS Nexus
2022-09-01 | Journal article
Contributors: Nikolaos Evangelou; Noah J Wichrowski; George A Kevrekidis; Felix Dietrich; Mahdi Kooshkbaghi; Sarah McFann; Ioannis G Kevrekidis; Karen E Nelson
Source: check_circle
Crossref

Personalized Algorithm Generation: A Case Study in Learning ODE Integrators

SIAM Journal on Scientific Computing
2022-08 | Journal article
Contributors: Yue Guo; Felix Dietrich; Tom Bertalan; Danimir T. Doncevic; Manuel Dahmen; Ioannis G. Kevrekidis; Qianxiao Li
Source: check_circle
Crossref

Learning emergent partial differential equations in a learned emergent space

Nature Communications
2022-06-09 | Journal article
Contributors: Felix P. Kemeth; Tom Bertalan; Thomas Thiem; Felix Dietrich; Sung Joon Moon; Carlo R. Laing; Ioannis G. Kevrekidis
Source: check_circle
Crossref

Learning the temporal evolution of multivariate densities via normalizing flows

Chaos: An Interdisciplinary Journal of Nonlinear Science
2022-03 | Journal article
Contributors: Yubin Lu; Romit Maulik; Ting Gao; Felix Dietrich; Ioannis G. Kevrekidis; Jinqiao Duan
Source: check_circle
Crossref

Spectral Discovery of Jointly Smooth Features for Multimodal Data

SIAM Journal on Mathematics of Data Science
2022-03 | Journal article
Contributors: Felix Dietrich; Or Yair; Rotem Mulayoff; Ronen Talmon; Ioannis G. Kevrekidis
Source: check_circle
Crossref

Local conformal autoencoder for standardized data coordinates

Proceedings of the National Academy of Sciences
2020-12-08 | Journal article
Contributors: Erez Peterfreund; Ofir Lindenbaum; Felix Dietrich; Tom Bertalan; Matan Gavish; Ioannis G. Kevrekidis; Ronald R. Coifman
Source: check_circle
Crossref

datafold: data-driven models for point clouds and time series on manifolds

Journal of Open Source Software
2020-07-14 | Journal article
Contributors: Daniel Lehmberg; Felix Dietrich; Gerta Köster; Hans-Joachim Bungartz
Source: check_circle
Crossref

Some manifold learning considerations toward explicit model predictive control

AIChE Journal
2020-05 | Journal article
Contributors: Robert J. Lovelett; Felix Dietrich; Seungjoon Lee; Ioannis G. Kevrekidis
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Manifold learning for organizing unstructured sets of process observations

Chaos: An Interdisciplinary Journal of Nonlinear Science
2020-04 | Journal article
Contributors: Felix Dietrich; Mahdi Kooshkbaghi; Erik M. Bollt; Ioannis G. Kevrekidis
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

On the Koopman Operator of Algorithms

SIAM Journal on Applied Dynamical Systems
2020-01 | Journal article
Contributors: Felix Dietrich; Thomas N. Thiem; Ioannis G. Kevrekidis
Source: check_circle
Crossref

On learning Hamiltonian systems from data

Chaos: An Interdisciplinary Journal of Nonlinear Science
2019-12 | Journal article
Contributors: Tom Bertalan; Felix Dietrich; Igor Mezić; Ioannis G. Kevrekidis
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Linking Gaussian process regression with data-driven manifold embeddings for nonlinear data fusion

Interface Focus
2019-06-06 | Journal article
Contributors: Seungjoon Lee; Felix Dietrich; George E. Karniadakis; Ioannis G. Kevrekidis
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning

IEEE Access
2018 | Journal article
Contributors: Felix P. Kemeth; Sindre W. Haugland; Felix Dietrich; Tom Bertalan; Kevin Hohlein; Qianxiao Li; Erik M. Bollt; Ronen Talmon; Katharina Krischer; Ioannis G. Kevrekidis
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Fast and flexible uncertainty quantification through a data-driven surrogate model

International Journal for Uncertainty Quantification
2018 | Journal article
EID:

2-s2.0-85048252567

Contributors: Dietrich, F.; Künzner, F.; Neckel, T.; Köster, G.; Bungartz, H.-J.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

On matching, and even rectifying, dynamical systems through koopman operator eigenfunctions

SIAM Journal on Applied Dynamical Systems
2017 | Journal article
EID:

2-s2.0-85049246358

Contributors: Bollt, E.M.; Li, Q.; Dietrich, F.; Kevrekidis, I.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator

Chaos: An Interdisciplinary Journal of Nonlinear Science
2017-10 | Journal article
Contributors: Qianxiao Li; Felix Dietrich; Erik M. Bollt; Ioannis G. Kevrekidis
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Numerical model construction with closed observables

SIAM Journal on Applied Dynamical Systems
2016 | Journal article
EID:

2-s2.0-85006970749

Contributors: Dietrich, F.; Köster, G.; Bungartz, H.-J.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

How navigation according to a distance function improves pedestrian motion in ODE-based models

Traffic and Granular Flow, 2013
2015 | Conference paper
EID:

2-s2.0-85007304677

Contributors: Dietrich, F.; K�ster, G.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

The effect of stepping on pedestrian trajectories

Physica A: Statistical Mechanics and its Applications
2015-03 | Journal article
Contributors: Michael J. Seitz; Felix Dietrich; Gerta Köster
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

A study of pedestrian stepping behaviour for crowd simulation

Transportation Research Procedia
2014 | Conference paper
EID:

2-s2.0-84937116869

Contributors: Seitz, M.J.; Dietrich, F.; Köster, G.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

Bridging the gap: From cellular automata to differential equation models for pedestrian dynamics

Journal of Computational Science
2014 | Journal article
DOI:

10.1016/j.jocs.2014.06.005

EID:

2-s2.0-84905974339

Contributors: Dietrich, F.; Köster, G.; Seitz, M.; von Sivers, I.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier
grade
Preferred source (of 2)‎

Bridging the gap: From cellular automata to differential equation models for pedestrian dynamics

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2014 | Book
EID:

2-s2.0-84901289693

Contributors: Dietrich, F.; Köster, G.; Seitz, M.; Von Sivers, I.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

Gradient navigation model for pedestrian dynamics

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
2014 | Journal article
EID:

2-s2.0-84902455813

Contributors: Dietrich, F.; Köster, G.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

Inter-Golgi transport mediated by COPI-containing vesicles carrying small cargoes

eLife
2013 | Journal article
DOI:

10.7554/eLife.01296

EID:

2-s2.0-84929519826

Contributors: Pellett, P.A.; Dietrich, F.; Bewersdorf, J.; Rothman, J.E.; Lavieu, G.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

Inter-Golgi transport mediated by COPI-containing vesicles carrying small cargoes

eLife
2013 | Journal article
EID:

2-s2.0-84885162488

Contributors: Pellett, P.A.; Dietrich, F.; Bewersdorf, J.; Rothman, J.E.; Lavieu, G.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

Modelling and Monte-Carlo simulations for a concurrency problem

Proceedings of the IASTED International Conference on Modelling and Simulation
2010 | Conference paper
EID:

2-s2.0-84858652152

Contributors: Logofǎtu, D.; Dietrich, F.
Source: Self-asserted source
Felix Dietrich via Scopus - Elsevier

Peer review (29 reviews for 12 publications/grants)

Review activity for Applied and computational harmonic analysis. (1)
Review activity for Chaos. (9)
Review activity for Communications in nonlinear science & numerical simulation (4)
Review activity for Journal of nonlinear science. (2)
Review activity for Mathematics. (1)
Review activity for Nature communications (2)
Review activity for Nature computational science. (1)
Review activity for Physics of fluids. (1)
Review activity for PloS one. (1)
Review activity for Sampling theory, signal processing, and data analysis. (1)
Review activity for SIAM journal on applied dynamical systems. (4)
Review activity for SIAM journal on scientific computing. (2)