Felix Dietrich

According to our database, Felix Dietrich authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Danimir T. Doncevic, Alexander Mitsos, Yue Guo, 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

CoRR, 2024

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, 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

J. Open Source Softw., October, 2023

Quantum process tomography of unitary maps from time-delayed measurements.

Irene López Gutiérrez, Felix Dietrich, Christian B. Mendl

Quantum Inf. Process., 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

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

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

On the Use of Neural Networks for Full Waveform Inversion.

Leon Herrmann, Tim Bürchner, Felix Dietrich, Stefan Kollmannsberger

CoRR, 2023

Sampling weights of deep neural networks.

Erik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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, Heiko B. Weber, Silvana Botti, Martin Aeschlimann, Claudia Draxl

Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023

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

Personalized Algorithm Generation: A Case Study in Learning ODE Integrators.

Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li

SIAM J. Sci. Comput., 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

Safe Policy Improvement Approaches and Their Limitations.

Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft

Proceedings of the Agents and Artificial Intelligence - 14th International Conference, 2022

Safe Policy Improvement Approaches on Discrete Markov Decision Processes.

Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

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

On the Correspondence between Gaussian Processes and Geometric Harmonics.

Felix Dietrich, Juan M. Bello-Rivas, 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

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

Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators.

Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li

CoRR, 2021

2020

On the Koopman Operator of Algorithms.

Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis

SIAM J. Appl. Dyn. Syst., 2020

A Geometric Approach to the Transport of Discontinuous Densities.

Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis

SIAM/ASA J. Uncertain. Quantification, 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

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

Transformations between deep neural networks.

Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis

CoRR, 2020

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

2019

Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation.

Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis

CoRR, 2019

FFT-Based Solution Schemes for the Unit Cell Problem in Periodic Homogenization of Magneto-Elastic Coupling.

Felix Dietrich

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

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

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

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

2016

Numerical Model Construction with Closed Observables.

Felix Dietrich, Gerta Köster, Hans-Joachim Bungartz

SIAM J. Appl. Dyn. Syst., 2016

2015

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

2014

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