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ORCIDFelix Dietrich
Person information
- affiliation: Technical University of Munich, Department of Informatics, Germany
- affiliation: Johns Hopkins University, Department of Chemical and Biomolecular Engineering, Baltimore, MD, USA
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2020 – today
- 2024
[j13]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): 719- (2024)- [i24]Chinmay Datar, Adwait Datar, Felix Dietrich, Wil Schilders:
Systematic construction of continuous-time neural networks for linear dynamical systems. CoRR abs/2403.16215 (2024) - [i23]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 abs/2404.11965 (2024) - 2023
- [j12]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: 112072 (2023) - [j11]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): 5388 (2023) - [j10]Irene López Gutiérrez, Felix Dietrich, Christian B. Mendl:
Quantum process tomography of unitary maps from time-delayed measurements. Quantum Inf. Process. 22(6): 251 (2023) - [c6]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 - [c5]Erik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich:
Sampling weights of deep neural networks. NeurIPS 2023 - [i22]Leon Herrmann, Tim Bürchner, Felix Dietrich, Stefan Kollmannsberger:
On the Use of Neural Networks for Full Waveform Inversion. CoRR abs/2303.03260 (2023) - [i21]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 abs/2304.11925 (2023) - [i20]Erik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich:
Sampling weights of deep neural networks. CoRR abs/2306.16830 (2023) - [i19]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 abs/2312.13155 (2023) - 2022
- [j9]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): 1911- (2022) - [j8]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): 410-430 (2022) - [c4]Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches and Their Limitations. ICAART (Revised Selected Paper 2022: 74-98 - [c3]Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. ICAART (2) 2022: 142-151 - [i18]Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. CoRR abs/2201.12175 (2022) - [i17]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 abs/2204.12536 (2022) - [i16]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 abs/2205.00286 (2022) - [i15]Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches and their Limitations. CoRR abs/2208.00724 (2022) - [i14]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 abs/2211.12386 (2022) - 2021
- [i13]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 abs/2105.01303 (2021) - [i12]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 abs/2106.09004 (2021) - [i11]Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan:
Learning the temporal evolution of multivariate densities via normalizing flows. CoRR abs/2107.13735 (2021) - [i10]Felix Dietrich, Juan M. Bello-Rivas, Ioannis G. Kevrekidis:
On the Correspondence between Gaussian Processes and Geometric Harmonics. CoRR abs/2110.02296 (2021) - [i9]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 abs/2110.06717 (2021) - 2020
- [j7]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): 2283 (2020) - [j6]Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis:
A Geometric Approach to the Transport of Discontinuous Densities. SIAM/ASA J. Uncertain. Quantification 8(3): 1012-1035 (2020) - [j5]Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis:
On the Koopman Operator of Algorithms. SIAM J. Appl. Dyn. Syst. 19(2): 860-885 (2020) - [i8]Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis:
Spectral Discovery of Jointly Smooth Features for Multimodal Data. CoRR abs/2004.04386 (2020) - [i7]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 abs/2004.07234 (2020) - [i6]Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis:
Transformations between deep neural networks. CoRR abs/2007.05646 (2020) - [i5]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 abs/2012.12738 (2020)
2010 – 2019
- 2019
- [c2]Felix Dietrich:
FFT-Based Solution Schemes for the Unit Cell Problem in Periodic Homogenization of Magneto-Elastic Coupling. ENUMATH 2019: 303-311 - [i4]Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis:
Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. CoRR abs/1906.00616 (2019) - [i3]Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis:
On the Koopman operator of algorithms. CoRR abs/1907.10807 (2019) - 2018
- [j4]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: 77402-77413 (2018) - [j3]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): 1925-1960 (2018) - [i2]Seungjoon Lee, Felix Dietrich, George E. Karniadakis, Ioannis G. Kevrekidis:
Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion. CoRR abs/1812.06467 (2018) - 2016
- [j2]Felix Dietrich, Gerta Köster, Hans-Joachim Bungartz:
Numerical Model Construction with Closed Observables. SIAM J. Appl. Dyn. Syst. 15(4): 2078-2108 (2016) - 2015
- [i1]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 abs/1511.00217 (2015) - 2014
- [j1]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): 841-846 (2014) - 2013
- [c1]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: 659-668
Coauthor Index
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last updated on 2024-05-31 01:41 CEST by the dblp team
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