Felix Dietrich

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Topics

Gaussian Process

Differential Equations

Dynamical Systems

Top Venues

SIAM J. Appl. Dyn. Syst.

J. Open Source Softw.

SIAM J. Sci. Comput.

Publications

David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR (2024)
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. CoRR (2024)
Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. 46 (2) (2024)
Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich
Solving partial differential equations with sampled neural networks. CoRR (2024)
Chinmay Datar, Adwait Datar, Felix Dietrich, Wil Schilders
Systematic construction of continuous-time neural networks for linear dynamical systems. CoRR (2024)
Markus Scheidgen, Sebastian Brückner, Sandor Brockhauser, Luca M. Ghiringhelli, Felix Dietrich, Ahmed E. Mansour, José A. Márquez, Martin Albrecht, Heiko B. Weber, Silvana Botti, Martin Aeschlimann, Claudia Draxl
FAIR Research Data With NOMAD FAIRmat's Distributed, Schema-based Research-data Infrastructure to Harmonize RDM in Materials Science. CoRDI (2023)
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, Felix Dietrich, Daniel Lehmberg, Thea Denell, Andrea Albino, Hampus Näsström, Sherjeel Shabih, Florian Dobener, Markus Kühbach, Rubel Mozumder, Joseph F. Rudzinski, Nathan Daelman, José M. Pizarro, Martin Kuban, Cuauhtemoc Salazar, Pavel Ondracka, Hans-Joachim Bungartz, Claudia Draxl
NOMAD: A distributed web-based platform for managing materials science research data. J. Open Source Softw. 8 (90) (2023)
Irene López Gutiérrez, Felix Dietrich, Christian B. Mendl
Quantum process tomography of unitary maps from time-delayed measurements. Quantum Inf. Process. 22 (6) (2023)
Ioannis K. Gallos, Daniel Lehmberg, Felix Dietrich, Constantinos I. Siettos
Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator. CoRR (2023)
Erik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich
Sampling weights of deep neural networks. CoRR (2023)
Erez Peterfreund, Iryna Burak, Ofir Lindenbaum, Jim Gimlett, Felix Dietrich, Ronald R. Coifman, Ioannis G. Kevrekidis
Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity. CoRR (2023)
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. J. Comput. Phys. 485 (2023)
Leon Herrmann, Tim Bürchner, Felix Dietrich, Stefan Kollmannsberger
On the Use of Neural Networks for Full Waveform Inversion. CoRR (2023)
Erik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich
Sampling weights of deep neural networks. NeurIPS (2023)
Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
Safe Policy Improvement Approaches and Their Limitations. ICAART (Revised Selected Paper (2022)
Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
Safe Policy Improvement Approaches and their Limitations. CoRR (2022)
Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM J. Math. Data Sci. 4 (1) (2022)
Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. ICAART (2) (2022)
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. CoRR (2022)
Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR (2022)
Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. CoRR (2022)
Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex Yeh, Rachel Stein, Michael A. Bevan, Ioannis G. Kevrekidis
Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles. CoRR (2022)
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 J. Sci. Comput. 44 (4) (2022)
Felix Dietrich, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
On the Correspondence between Gaussian Processes and Geometric Harmonics. CoRR (2021)
Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis
Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. CoRR (2021)
Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan
Learning the temporal evolution of multivariate densities via normalizing flows. CoRR (2021)
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. CoRR (2021)
Nikolaos Evangelou, 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. CoRR (2021)
Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman
LOCA: LOcal Conformal Autoencoder for standardized data coordinates. CoRR (2020)
Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis
A Geometric Approach to the Transport of Discontinuous Densities. SIAM/ASA J. Uncertain. Quantification 8 (3) (2020)
Daniel Lehmberg, Felix Dietrich, Gerta Köster, Hans-Joachim Bungartz
datafold: data-driven models for point clouds and time series on manifolds. J. Open Source Softw. 5 (51) (2020)
Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis
Transformations between deep neural networks. CoRR (2020)
Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
Spectral Discovery of Jointly Smooth Features for Multimodal Data. CoRR (2020)
Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis
On the Koopman Operator of Algorithms. SIAM J. Appl. Dyn. Syst. 19 (2) (2020)
Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis
Learning emergent PDEs in a learned emergent space. CoRR (2020)
Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis
Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. CoRR (2019)
Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis
On the Koopman operator of algorithms. CoRR (2019)
Felix Dietrich
FFT-Based Solution Schemes for the Unit Cell Problem in Periodic Homogenization of Magneto-Elastic Coupling. ENUMATH (2019)
Erik M. Bollt, Qianxiao Li, Felix Dietrich, Ioannis G. Kevrekidis
On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions. SIAM J. Appl. Dyn. Syst. 17 (2) (2018)
Seungjoon Lee, Felix Dietrich, George E. Karniadakis, Ioannis G. Kevrekidis
Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion. CoRR (2018)
Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access 6 (2018)
Felix Dietrich, Gerta Köster, Hans-Joachim Bungartz
Numerical Model Construction with Closed Observables. SIAM J. Appl. Dyn. Syst. 15 (4) (2016)
Daniel H. Biedermann, Felix Dietrich, Oliver Handel, Peter M. Kielar, Michael J. Seitz
Using Raspberry Pi for scientific video observation of pedestrians during a music festival. CoRR (2015)
Felix Dietrich, Gerta Köster, Michael J. Seitz, Isabella von Sivers
Bridging the gap: From cellular automata to differential equation models for pedestrian dynamics. J. Comput. Sci. 5 (5) (2014)
Felix Dietrich, Gerta Köster, Michael J. Seitz, Isabella von Sivers
Bridging the Gap: From Cellular Automata to Differential Equation Models for Pedestrian Dynamics. PPAM (2) (2013)