Felix Dietrich

59 papers A* 1Journal 50Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures. CoRR Sucheta Ghosh, Zahra Monfared, Felix Dietrich
2026	J	`jnl`	What Constitutes Experiences of Autonomy in Digital Technology Use? A (Computational) Scoping Review Through the Lens of Self-Determination Theory. Interact. Comput. Felix Dietrich, Anisha Arenz, Leonard Reinecke
2025	—	`conf`	101 reasons to stop: A systematic review of media cues for disengagement. CHI Greece Alicia Gilbert, Frauke Schöne, Rebekka Kreling, Felix Dietrich, Leonard Reinecke
2025	J	`jnl`	A Mesh Is Worth 512 Numbers: Spectral-domain Diffusion Modeling for High-dimension Shape Generation. CoRR Jiajie Fan, Amal Trigui, Andrea Bonfanti, Felix Dietrich, Thomas Bäck, Hao Wang
2025	J	`jnl`	Neural network-based singularity detection and applications. CoRR Nadiia Derevianko, Ioannis G. Kevrekidis, Felix Dietrich
2025	J	`jnl`	Random Feature Spiking Neural Networks. CoRR Maximilian Gollwitzer, Felix Dietrich
2025	J	`jnl`	Rapid training of Hamiltonian graph networks without gradient descent. CoRR Atamert Rahma, Chinmay Datar, Ana Cukarska, Felix Dietrich
2025	—	`conf`	Sliding Mode Observer Design for Reconstruction of Parameter Change in DC-DC Buck Converters. SysTol Felix Dietrich, Horst Schulte
2025	J	`jnl`	Systematic Construction of Continuous-Time Neural Networks for Linear Dynamical Systems. SIAM J. Sci. Comput. Chinmay Datar, Adwait Datar, Felix Dietrich, Wil Schilders
2025	—	`conf`	The differential effects of algorithmic recommendations on user experience: Enjoyment and serendipity in everyday music streaming. CHI Greece Felix Dietrich, Alicia Ernst, Rebekka Kreling, Alicia Gilbert, Benedikt Rohr, Michael Scharkow, Leonard Reinecke
2024	J	`jnl`	A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. SIAM J. Sci. Comput. Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
2024	J	`jnl`	Accelerating Full Waveform Inversion By Transfer Learning. CoRR Divya Shyam Singh, Leon Herrmann, Qing Sun, Tim Bürchner, Felix Dietrich, Stefan Kollmannsberger
2024	J	`jnl`	Gradient-free training of recurrent neural networks. CoRR Erik Lien Bolager, Ana Cukarska, Iryna Burak, Zahra Monfared, Felix Dietrich
2024	J	`jnl`	Multi-fidelity Gaussian process surrogate modeling for regression problems in physics. CoRR Kislaya Ravi, Vladyslav Fediukov, Felix Dietrich, Tobias Neckel, Fabian Buse, Michael Bergmann, Hans-Joachim Bungartz
2024	J	`jnl`	Multi-fidelity Gaussian process surrogate modeling for regression problems in physics. Mach. Learn. Sci. Technol. Kislaya Ravi, Vladyslav Fediukov, Felix Dietrich, Tobias Neckel, Fabian Buse, Michael Bergmann, Hans-Joachim Bungartz
2024	J	`jnl`	On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them. CoRR David W. Sroczynski, Felix Dietrich, Eleni D. Koronaki, Ronen Talmon, Ronald R. Coifman, Erik M. Bollt, Ioannis G. Kevrekidis
2024	J	`jnl`	Solving partial differential equations with sampled neural networks. CoRR Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Iryna Burak, Erik Lien Bolager, Anna Veselovska, Massimo Fornasier, Felix Dietrich
2024	J	`jnl`	Systematic construction of continuous-time neural networks for linear dynamical systems. CoRR Chinmay Datar, Adwait Datar, Felix Dietrich, Wil Schilders
2024	J	`jnl`	Training Hamiltonian neural networks without backpropagation. CoRR Atamert Rahma, Chinmay Datar, Felix Dietrich
2023	J	`jnl`	Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator. CoRR Ioannis K. Gallos, Daniel Lehmberg, Felix Dietrich, Constantinos I. Siettos
2023	J	`jnl`	Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space. J. Comput. Phys. Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis
2023	—	`conf`	FAIR Research Data With NOMAD FAIRmat's Distributed, Schema-based Research-data Infrastructure to Harmonize RDM in Materials Science. CoRDI 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
2023	J	`jnl`	Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity. CoRR Erez Peterfreund, Iryna Burak, Ofir Lindenbaum, Jim Gimlett, Felix Dietrich, Ronald R. Coifman, Ioannis G. Kevrekidis
2023	J	`jnl`	NOMAD: A distributed web-based platform for managing materials science research data. J. Open Source Softw. 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
2023	J	`jnl`	On the Use of Neural Networks for Full Waveform Inversion. CoRR Leon Herrmann, Tim Bürchner, Felix Dietrich, Stefan Kollmannsberger
2023	J	`jnl`	Quantum process tomography of unitary maps from time-delayed measurements. Quantum Inf. Process. Irene López Gutiérrez, Felix Dietrich, Christian B. Mendl
2023	A*	`conf`	Sampling weights of deep neural networks. NeurIPS Erik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich
2023	J	`jnl`	Sampling weights of deep neural networks. CoRR Erik Lien Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich
2022	J	`jnl`	A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms. CoRR Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
2022	J	`jnl`	Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space. CoRR Nikolaos Evangelou, Felix Dietrich, Eliodoro Chiavazzo, Daniel Lehmberg, Marina Meila, Ioannis G. Kevrekidis
2022	J	`jnl`	Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles. CoRR Nikolaos Evangelou, Felix Dietrich, Juan M. Bello-Rivas, Alex Yeh, Rachel Stein, Michael A. Bevan, Ioannis G. Kevrekidis
2022	J	`jnl`	Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM J. Sci. Comput. Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
2022	—	`conf`	Safe Policy Improvement Approaches and Their Limitations. ICAART (Revised Selected Paper Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
2022	J	`jnl`	Safe Policy Improvement Approaches and their Limitations. CoRR Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
2022	—	`conf`	Safe Policy Improvement Approaches on Discrete Markov Decision Processes. ICAART (2) Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
2022	J	`jnl`	Safe Policy Improvement Approaches on Discrete Markov Decision Processes. CoRR Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft
2022	J	`jnl`	Spectral Discovery of Jointly Smooth Features for Multimodal Data. SIAM J. Math. Data Sci. Felix Dietrich, Or Yair, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
2021	J	`jnl`	Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. CoRR Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis
2021	J	`jnl`	Learning the temporal evolution of multivariate densities via normalizing flows. CoRR Yubin Lu, Romit Maulik, Ting Gao, Felix Dietrich, Ioannis G. Kevrekidis, Jinqiao Duan
2021	J	`jnl`	On the Correspondence between Gaussian Processes and Geometric Harmonics. CoRR Felix Dietrich, Juan M. Bello-Rivas, Ioannis G. Kevrekidis
2021	J	`jnl`	On the Parameter Combinations That Matter and on Those That do Not. CoRR Nikolaos Evangelou, Noah J. Wichrowski, George A. Kevrekidis, Felix Dietrich, Mahdi Kooshkbaghi, Sarah McFann, Ioannis G. Kevrekidis
2021	J	`jnl`	Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. CoRR Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
2020	J	`jnl`	A Geometric Approach to the Transport of Discontinuous Densities. SIAM/ASA J. Uncertain. Quantification Caroline Moosmüller, Felix Dietrich, Ioannis G. Kevrekidis
2020	J	`jnl`	LOCA: LOcal Conformal Autoencoder for standardized data coordinates. CoRR Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman
2020	J	`jnl`	Learning emergent PDEs in a learned emergent space. CoRR Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis
2020	J	`jnl`	On the Koopman Operator of Algorithms. SIAM J. Appl. Dyn. Syst. Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis
2020	J	`jnl`	Spectral Discovery of Jointly Smooth Features for Multimodal Data. CoRR Or Yair, Felix Dietrich, Rotem Mulayoff, Ronen Talmon, Ioannis G. Kevrekidis
2020	J	`jnl`	Transformations between deep neural networks. CoRR Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis
2020	J	`jnl`	datafold: data-driven models for point clouds and time series on manifolds. J. Open Source Softw. Daniel Lehmberg, Felix Dietrich, Gerta Köster, Hans-Joachim Bungartz
2019	—	`conf`	FFT-Based Solution Schemes for the Unit Cell Problem in Periodic Homogenization of Magneto-Elastic Coupling. ENUMATH Felix Dietrich
2019	J	`jnl`	On the Koopman operator of algorithms. CoRR Felix Dietrich, Thomas N. Thiem, Ioannis G. Kevrekidis
2019	J	`jnl`	Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation. CoRR Or Yair, Felix Dietrich, Ronen Talmon, Ioannis G. Kevrekidis
2018	J	`jnl`	An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
2018	J	`jnl`	Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion. CoRR Seungjoon Lee, Felix Dietrich, George E. Karniadakis, Ioannis G. Kevrekidis
2018	J	`jnl`	On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions. SIAM J. Appl. Dyn. Syst. Erik M. Bollt, Qianxiao Li, Felix Dietrich, Ioannis G. Kevrekidis
2016	J	`jnl`	Numerical Model Construction with Closed Observables. SIAM J. Appl. Dyn. Syst. Felix Dietrich, Gerta Köster, Hans-Joachim Bungartz
2015	J	`jnl`	Using Raspberry Pi for scientific video observation of pedestrians during a music festival. CoRR Daniel H. Biedermann, Felix Dietrich, Oliver Handel, Peter M. Kielar, Michael J. Seitz
2014	J	`jnl`	Bridging the gap: From cellular automata to differential equation models for pedestrian dynamics. J. Comput. Sci. Felix Dietrich, Gerta Köster, Michael J. Seitz, Isabella von Sivers
2013	—	`conf`	Bridging the Gap: From Cellular Automata to Differential Equation Models for Pedestrian Dynamics. PPAM (2) Felix Dietrich, Gerta Köster, Michael J. Seitz, Isabella von Sivers