Bridging the gap: From cellular automata to differential equation models for pedestrian dynamics. - Felix Dietrich; Gerta Köster; Michael J. Seitz; Isabella von Sivers (J. Comput. Sci., 2014)

Using Raspberry Pi for scientific video observation of pedestrians during a music festival. - Daniel H. Biedermann; Felix Dietrich; Oliver Handel; Peter M. Kielar; Michael J. Seitz (CoRR, 2015)

Numerical Model Construction with Closed Observables. - Felix Dietrich; Gerta Köster; Hans-Joachim Bungartz (SIAM J. Appl. Dyn. Syst., 2016)

An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. - Felix P. Kemeth; Sindre W. Haugland; Felix Dietrich; Tom Bertalan; Kevin Höhlein; Qianxiao Li; Erik M. Bollt; Ronen Talmon; Katharina Krischer; Ioannis G. Kevrekidis (IEEE Access, 2018)

Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion. - Seungjoon Lee; Felix Dietrich; George E. Karniadakis; Ioannis G. Kevrekidis (CoRR, 2018)

On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions. - Erik M. Bollt; Qianxiao Li; Felix Dietrich; Ioannis G. Kevrekidis (SIAM J. Appl. Dyn. Syst., 2018)

FFT-Based Solution Schemes for the Unit Cell Problem in Periodic Homogenization of Magneto-Elastic Coupling. - Felix Dietrich (ENUMATH, 2019)

Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. - Or Yair; Felix Dietrich; Ronen Talmon; Ioannis G. Kevrekidis (CoRR, 2019)

LOCA: LOcal Conformal Autoencoder for standardized data coordinates. - Erez Peterfreund; Ofir Lindenbaum; Felix Dietrich; Tom Bertalan; Matan Gavish; Ioannis G. Kevrekidis; Ronald R. Coifman (CoRR, 2020)

Transformations between deep neural networks. - Tom Bertalan; Felix Dietrich; Ioannis G. Kevrekidis (CoRR, 2020)

Learning emergent PDEs in a learned emergent space. - Felix P. Kemeth; Tom Bertalan; Thomas N. Thiem; Felix Dietrich; Sung Joon Moon; Carlo R. Laing; Ioannis G. Kevrekidis (CoRR, 2020)

datafold: data-driven models for point clouds and time series on manifolds. - Daniel Lehmberg; Felix Dietrich; Gerta Köster; Hans-Joachim Bungartz (J. Open Source Softw., 2020)

A Geometric Approach to the Transport of Discontinuous Densities. - Caroline Moosmüller; Felix Dietrich; Ioannis G. Kevrekidis (SIAM/ASA J. Uncertain. Quantification, 2020)

On the Koopman Operator of Algorithms. - Felix Dietrich; Thomas N. Thiem; Ioannis G. Kevrekidis (SIAM J. Appl. Dyn. Syst., 2020)

Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. - Yue Guo 006; Felix Dietrich; Tom Bertalan; Danimir T. Doncevic; Manuel Dahmen; Ioannis G. Kevrekidis; Qianxiao Li (CoRR, 2021)

Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. - Felix Dietrich; Alexei Makeev; George Kevrekidis; Nikolaos Evangelou; Tom Bertalan; Sebastian Reich; Ioannis G. Kevrekidis (CoRR, 2021)

Learning the temporal evolution of multivariate densities via normalizing flows. - Yubin Lu; Romit Maulik; Ting Gao; Felix Dietrich; Ioannis G. Kevrekidis; Jinqiao Duan (CoRR, 2021)

On the Correspondence between Gaussian Processes and Geometric Harmonics. - Felix Dietrich; Juan M. Bello-Rivas; Ioannis G. Kevrekidis (CoRR, 2021)

On the Parameter Combinations That Matter and on Those That do Not. - Nikolaos Evangelou; Noah J. Wichrowski; George A. Kevrekidis; Felix Dietrich; Mahdi Kooshkbaghi; Sarah McFann; Ioannis G. Kevrekidis (CoRR, 2021)

Safe Policy Improvement Approaches on Discrete Markov Decision Processes. - Philipp Scholl 003; Felix Dietrich; Clemens Otte; Steffen Udluft (ICAART (2), 2022)

Safe Policy Improvement Approaches and Their Limitations. - Philipp Scholl 003; Felix Dietrich; Clemens Otte; Steffen Udluft (ICAART (Revised Selected Paper, 2022)

Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles. - Nikolaos Evangelou; Felix Dietrich; Juan M. Bello-Rivas; Alex Yeh; Rachel Stein; Michael A. Bevan; Ioannis G. Kevrekidis (CoRR, 2022)

Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. - Yue Guo 006; Felix Dietrich; Tom Bertalan; Danimir T. Doncevic; Manuel Dahmen; Ioannis G. Kevrekidis; Qianxiao Li (SIAM J. Sci. Comput., 2022)

Spectral Discovery of Jointly Smooth Features for Multimodal Data. - Felix Dietrich; Or Yair; Rotem Mulayoff; Ronen Talmon; Ioannis G. Kevrekidis (SIAM J. Math. Data Sci., 2022)

FAIR Research Data With NOMAD FAIRmat's Distributed, Schema-based Research-data Infrastructure to Harmonize RDM in Materials Science. - Markus Scheidgen; Sebastian Brückner; Sandor Brockhauser; Luca M. Ghiringhelli; Felix Dietrich; Ahmed E. Mansour; José A. Márquez; Martin Albrecht 002; Heiko B. Weber; Silvana Botti; Martin Aeschlimann; Claudia Draxl (CoRDI, 2023)

Sampling weights of deep neural networks. - Erik Lien Bolager; Iryna Burak; Chinmay Datar; Qing Sun; Felix Dietrich (NeurIPS, 2023)

On the Use of Neural Networks for Full Waveform Inversion. - Leon Herrmann; Tim Bürchner; Felix Dietrich; Stefan Kollmannsberger (CoRR, 2023)

Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator. - Ioannis K. Gallos; Daniel Lehmberg; Felix Dietrich; Constantinos I. Siettos (CoRR, 2023)

Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity. - Erez Peterfreund; Iryna Burak; Ofir Lindenbaum; Jim Gimlett; Felix Dietrich; Ronald R. Coifman; Ioannis G. Kevrekidis (CoRR, 2023)

Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. - Nikolaos Evangelou; Felix Dietrich; Eliodoro Chiavazzo; Daniel Lehmberg; Marina Meila; Ioannis G. Kevrekidis (J. Comput. Phys., 2023)

Quantum process tomography of unitary maps from time-delayed measurements. - Irene López Gutiérrez; Felix Dietrich; Christian B. Mendl (Quantum Inf. Process., 2023)

NOMAD: A distributed web-based platform for managing materials science research data. - Markus Scheidgen; Lauri Himanen; Alvin N. Ladines; David Sikter; Mohammad Nakhaee; Ádám Fekete; Theodore Chang; Amir Golparvar; José A. Márquez; Sandor Brockhauser; Sebastian Brückner; Luca M. Ghiringhelli; et al. (J. Open Source Softw., 2023)

Solving partial differential equations with sampled neural networks. - Chinmay Datar; Taniya Kapoor; Abhishek Chandra; Qing Sun; Iryna Burak; Erik Lien Bolager; Anna Veselovska; Massimo Fornasier; Felix Dietrich (CoRR, 2024)

On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. - David W. Sroczynski; Felix Dietrich; Eleni D. Koronaki; Ronen Talmon; Ronald R. Coifman; Erik M. Bollt; Ioannis G. Kevrekidis (CoRR, 2024)

Accelerating Full Waveform Inversion By Transfer Learning. - Divya Shyam Singh 001; Leon Herrmann; Qing Sun; Tim Bürchner; Felix Dietrich; Stefan Kollmannsberger (CoRR, 2024)

Gradient-free training of recurrent neural networks. - Erik Lien Bolager; Ana Cukarska; Iryna Burak; Zahra Monfared; Felix Dietrich (CoRR, 2024)

Training Hamiltonian neural networks without backpropagation. - Atamert Rahma; Chinmay Datar; Felix Dietrich (CoRR, 2024)

Multi-fidelity Gaussian process surrogate modeling for regression problems in physics. - Kislaya Ravi; Vladyslav Fediukov; Felix Dietrich; Tobias Neckel; Fabian Buse; Michael Bergmann; Hans-Joachim Bungartz (Mach. Learn. Sci. Technol., 2024)

A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. - Danimir T. Doncevic; Alexander Mitsos; Yue Guo 006; Qianxiao Li; Felix Dietrich; Manuel Dahmen; Ioannis G. Kevrekidis (SIAM J. Sci. Comput., 2024)

Systematic Construction of Continuous-Time Neural Networks for Linear Dynamical Systems. - Chinmay Datar; Adwait Datar; Felix Dietrich; Wil Schilders (SIAM J. Sci. Comput., 2025)

A Mesh Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for High-dimension Shape Generation. - Jiajie Fan; Amal Trigui; Andrea Bonfanti; Felix Dietrich; Thomas Bäck; Hao Wang 025 (CoRR, 2025)

Rapid training of Hamiltonian graph networks without gradient descent. - Atamert Rahma; Chinmay Datar; Ana Cukarska; Felix Dietrich (CoRR, 2025)