Felix Dietrich
Orcid: 0000-0002-2906-1769Affiliations:
- Technical University of Munich, Department of Informatics, Germany
- Johns Hopkins University, Department of Chemical and Biomolecular Engineering, Baltimore, MD, USA
According to our database1,
Felix Dietrich
authored at least 39 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms.
SIAM J. Sci. Comput., 2024
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics.
Mach. Learn. Sci. Technol., 2024
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them.
CoRR, 2024
Systematic construction of continuous-time neural networks for linear dynamical systems.
CoRR, 2024
2023
NOMAD: A distributed web-based platform for managing materials science research data.
J. Open Source Softw., October, 2023
Quantum Inf. Process., 2023
Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space.
J. Comput. Phys., 2023
Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity.
CoRR, 2023
Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator.
CoRR, 2023
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.
Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023
2022
SIAM J. Math. Data Sci., 2022
SIAM J. Sci. Comput., 2022
CoRR, 2022
Proceedings of the Agents and Artificial Intelligence - 14th International Conference, 2022
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
2021
CoRR, 2021
Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning.
CoRR, 2021
CoRR, 2021
2020
SIAM/ASA J. Uncertain. Quantification, 2020
J. Open Source Softw., 2020
2019
FFT-Based Solution Schemes for the Unit Cell Problem in Periodic Homogenization of Magneto-Elastic Coupling.
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.
SIAM J. Appl. Dyn. Syst., 2018
Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion.
CoRR, 2018
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning.
IEEE Access, 2018
2016
2015
Using Raspberry Pi for scientific video observation of pedestrians during a music festival.
CoRR, 2015
2014
Bridging the gap: From cellular automata to differential equation models for pedestrian dynamics.
J. Comput. Sci., 2014