Felix Dietrich

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All published works
Action Title Year Authors
+ PDF Chat Training Hamiltonian neural networks without backpropagation 2024 Abdul Monem S. Rahma
Chinmay Datar
Felix Dietrich
+ PDF Chat Gradient-free training of recurrent neural networks 2024 Erik Lien Bolager
Ana Cukarska
Iryna Burak
Zahra Monfared
Felix Dietrich
+ Multi-fidelity Gaussian process surrogate modeling for regression problems in physics 2024 Kislaya Ravi
Vladyslav Fediukov
Felix Dietrich
Tobias Neckel
Fabian Buse
M. Bergmann
Hans–Joachim Bungartz
+ PDF Chat Accelerating Full Waveform Inversion By Transfer Learning 2024 Divya Shyam Singh
Leon Herrmann
Qiang Sun
Tim BĂŒrchner
Felix Dietrich
Stefan Kollmannsberger
+ PDF Chat On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them 2024 David W. Sroczynski
Felix Dietrich
Eleni D. Koronaki
Ronen Talmon
Ronald R. Coifman
Erik M. Bollt
Ioannis G. Kevrekidis
+ PDF Chat Solving partial differential equations with sampled neural networks 2024 Chinmay Datar
Taniya Kapoor
Abhishek Chandra
Qing Sun
Iryna Burak
Erik Lien Bolager
Anna Veselovska
Massimo Fornasier
Felix Dietrich
+ PDF Chat Multi-fidelity Gaussian process surrogate modeling for regression problems in physics 2024 Kislaya Ravi
Vladyslav Fediukov
Felix Dietrich
Tobias Neckel
Fabian Buse
Michael Bergmann
Hans–Joachim Bungartz
+ PDF Chat Systematic construction of continuous-time neural networks for linear dynamical systems 2024 Chinmay Datar
Adwait Datar
Felix Dietrich
W.H.A. Schilders
+ PDF Chat A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms 2024 Danimir T. Doncevic
Alexander Mitsos
Y. P. Guo
Qianxiao Li
Felix Dietrich
Manuel Dahmen
Ioannis G. Kevrekidis
+ PDF Chat Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator 2024 Ioannis Gallos
Daniel Lehmberg
Felix Dietrich
Constantinos Siettos
+ On the use of neural networks for full waveform inversion 2023 Leon Herrmann
Tim BĂŒrchner
Felix Dietrich
Stefan Kollmannsberger
+ PDF Chat Double Diffusion Maps and their Latent Harmonics for scientific computations in latent space 2023 Nikolaos Evangelou
Felix Dietrich
Eliodoro Chiavazzo
Daniel Lehmberg
Marina Meilă
Ioannis G. Kevrekidis
+ PDF Chat Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning 2023 Felix Dietrich
Alexei G. Makeev
George A. Kevrekidis
Nikolaos Evangelou
Tom Bertalan
Sebastian Reich
Ioannis G. Kevrekidis
+ On the Use of Neural Networks for Full Waveform Inversion 2023 Leon Herrmann
Tim BĂŒrchner
Felix Dietrich
Stefan Kollmannsberger
+ Learning effective SDEs from Brownian dynamic simulations of colloidal particles 2023 Nikolaos Evangelou
Felix Dietrich
Juan M. Bello‐Rivas
Alex Yeh
Rachel S. Hendley
Michael A. Bevan
I.G. Kevrekidis
+ Data-driven modelling of brain activity using neural networks, Diffusion Maps, and the Koopman operator 2023 Ioannis Gallos
Daniel Lehmberg
Felix Dietrich
Constantinos Siettos
+ Transporting Densities Across Dimensions 2023 Michael Plainer
Felix Dietrich
Ioannis G. Kevrekidis
+ Sampling weights of deep neural networks 2023 Erik Lien Bolager
Iryna Burak
Chinmay Datar
Qing Sun
Felix Dietrich
+ Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity 2023 Erez Peterfreund
Iryna Burak
Ofir Lindenbaum
Jim Gimlett
Felix Dietrich
Ronald R. Coifman
Ioannis G. Kevrekidis
+ PDF Chat Personalized Algorithm Generation: A Case Study in Learning ODE Integrators 2022 Y. P. Guo
Felix Dietrich
Tom Bertalan
Danimir T. Doncevic
Manuel Dahmen
Ioannis G. Kevrekidis
Qianxiao Li
+ Spectral Discovery of Jointly Smooth Features for Multimodal Data 2022 Felix Dietrich
Or Yair
Rotem Mulayoff
Ronen Talmon
Ioannis G. Kevrekidis
+ PDF Chat Learning the temporal evolution of multivariate densities via normalizing flows 2022 Yubin Lu
Romit Maulik
Ting Gao
Felix Dietrich
Ioannis G. Kevrekidis
Jinqiao Duan
+ Safe Policy Improvement Approaches on Discrete Markov Decision Processes 2022 Philipp Scholl
Felix Dietrich
Clemens Otte
Steffen Udluft
+ Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space 2022 Nikos Evangelou
Felix Dietrich
Eliodoro Chiavazzo
Daniel Lehmberg
Marina Meilă
Ioannis G. Kevrekidis
+ Learning Effective SDEs from Brownian Dynamics Simulations of Colloidal Particles 2022 Nikos Evangelou
Felix Dietrich
Juan M. Bello‐Rivas
Alex Yeh
Rachel Stein
Michael A. Bevan
Ioannis G. Kevekidis
+ Safe Policy Improvement Approaches on Discrete Markov Decision Processes 2022 Philipp M. Scholl
Felix Dietrich
Clemens Otte
Steffen Udluft
+ Safe Policy Improvement Approaches and their Limitations 2022 Philipp M. Scholl
Felix Dietrich
Clemens Otte
Steffen Udluft
+ A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms 2022 Danimir T. Doncevic
Alexander Mitsos
Yue Guo
Qianxiao Li
Felix Dietrich
Manuel Dahmen
Ioannis G. Kevrekidis
+ PDF Chat Safe Policy Improvement Approaches and Their Limitations 2022 Philipp Scholl
Felix Dietrich
Clemens Otte
Steffen Udluft
+ Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. 2021 Felix Dietrich
Alexei G. Makeev
George A. Kevrekidis
Nikolaos Evangelou
Tom Bertalan
Sebastian Reich
Ioannis G. Kevrekidis
+ PDF Chat Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning 2021 Felix Dietrich
Alexei G. Makeev
George A. Kevrekidis
Nikos Evangelou
Tom Bertalan
Stephanie Reich
Ioannis G. Kevrekidis
+ Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. 2021 Y. P. Guo
Felix Dietrich
Tom Bertalan
Danimir T. Doncevic
Manuel Dahmen
Ioannis G. Kevrekidis
Qianxiao Li
+ On the Correspondence between Gaussian Processes and Geometric Harmonics 2021 Felix Dietrich
Juan M. Bello‐Rivas
Ioannis G. Kevrekidis
+ Quantum Process Tomography of Unitary Maps from Time-Delayed Measurements 2021 Irene López Gutiérrez
Felix Dietrich
Christian B. Mendl
+ On the Parameter Combinations That Matter and on Those That do Not 2021 Nikos Evangelou
Noah J. Wichrowski
George A. Kevrekidis
Felix Dietrich
Mahdi Kooshkbaghi
Sarah McFann
Ioannis G. Kevrekidis
+ Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learning 2021 Felix Dietrich
Alexei G. Makeev
George A. Kevrekidis
Nikos Evangelou
Tom Bertalan
Stephanie Reich
Ioannis G. Kevrekidis
+ PDF Chat Local conformal autoencoder for standardized data coordinates 2020 Erez Peterfreund
Ofir Lindenbaum
Felix Dietrich
Tom Bertalan
Matan Gavish
Ioannis G. Kevrekidis
Ronald R. Coifman
+ Geometric necks in mean curvature flow of 2-convex hypersurfaces 2020 Felix Dietrich
+ LOCA: LOcal Conformal Autoencoder for standardized data coordinates 2020 Erez Peterfreund
Ofir Lindenbaum
Felix Dietrich
Tom Bertalan
Matan Gavish
Ioannis G. Kevrekidis
Ronald R. Coifman
+ PDF Chat Manifold learning for organizing unstructured sets of process observations 2020 Felix Dietrich
Mahdi Kooshkbaghi
Erik M. Bollt
Ioannis G. Kevrekidis
+ PDF Chat On the Koopman Operator of Algorithms 2020 Felix Dietrich
Thomas N. Thiem
Ioannis G. Kevrekidis
+ PDF Chat A Geometric Approach to the Transport of Discontinuous Densities 2020 Caroline MoosmĂŒller
Felix Dietrich
Ioannis G. Kevrekidis
+ Transformations between deep neural networks 2020 Tom Bertalan
Felix Dietrich
Ioannis G. Kevrekidis
+ Learning emergent PDEs in a learned emergent space 2020 Felix P. Kemeth
Tom Bertalan
Thomas N. Thiem
Felix Dietrich
Sung Joon Moon
Carlo R. Laing
Ioannis G. Kevrekidis
+ PDF Chat On learning Hamiltonian systems from data 2019 Tom Bertalan
Felix Dietrich
Igor Mezić
Ioannis G. Kevrekidis
+ Optimal Transport on the Manifold of SPD Matrices for Domain Adaptation 2019 Or Yair
Felix Dietrich
Ronen Talmon
Ioannis G. Kevrekidis
+ Domain Adaptation with Optimal Transport on the Manifold of SPD matrices 2019 Or Yair
Felix Dietrich
Ronen Talmon
Ioannis G. Kevrekidis
+ PDF Chat Linking Gaussian process regression with data-driven manifold embeddings for nonlinear data fusion 2019 Seung‐Joon Lee
Felix Dietrich
George Em Karniadakis
Ioannis G. Kevrekidis
+ Status of the undulator-based ILC positron source 2019 Felix Dietrich
Gudrid Moortgat‐Pick
Sabine Riemann
P. Sievers
Andriy Ushakov
+ PDF Chat Derivation of Higher-Order Terms in FFT-Based Numerical Homogenization 2019 Felix Dietrich
Dennis Merkert
Bernd Simeon
+ A geometric approach to the transport of discontinuous densities 2019 Caroline MoosmĂŒller
Felix Dietrich
Ioannis G. Kevrekidis
+ Domain Adaptation with Optimal Transport on the Manifold of SPD matrices 2019 Or Yair
Felix Dietrich
Ronen Talmon
Ioannis G. Kevrekidis
+ Manifold Learning for Bifurcation Diagram Observations 2018 Felix Dietrich
Mahdi Kooshkbaghi
Erik M. Bollt
Ioannis G. Kevrekidis
+ The ILC positron target cooled by thermal radiation 2018 Sabine Riemann
Felix Dietrich
Andriy Ushakov
P. Sievers
Gudrid Moortgat‐Pick
+ FAST AND FLEXIBLE UNCERTAINTY QUANTIFICATION THROUGH A DATA-DRIVEN SURROGATE MODEL 2018 Felix Dietrich
Florian KĂŒnzner
Tobias Neckel
Gerta Köster
Hans–Joachim Bungartz
+ An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning 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
+ PDF Chat On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions 2018 Erik M. Bollt
Qianxiao Li
Felix Dietrich
Ioannis G. Kevrekidis
+ Some manifold learning considerations towards explicit model predictive control 2018 Robert J. Lovelett
Felix Dietrich
Seungjoon Lee
Ioannis G. Kevrekidis
+ On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions 2017 Erik M. Bollt
Qianxiao Li
Felix Dietrich
Ioannis G. Kevrekidis
+ Derivation of higher-order terms in FFT-based numerical homogenization 2017 Felix Dietrich
Dennis Merkert
Bernd Simeon
+ PDF Chat Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator 2017 Qianxiao Li
Felix Dietrich
Erik M. Bollt
Ioannis G. Kevrekidis
+ An Equal Space for Complex Data with Unknown Internal Order: Observability, Gauge Invariance and Manifold Learning 2017 Felix P. Kemeth
Sindre W. Haugland
Felix Dietrich
Tom Bertalan
Qianxiao Li
Erik M. Bollt
Ronen Talmon
Katharina Krischer
Ioannis G. Kevrekidis
+ Data-Driven Surrogate Models for Dynamical Systems 2017 Felix Dietrich
+ On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions 2017 Erik M. Bollt
Qianxiao Li
Felix Dietrich
Ioannis G. Kevrekidis
+ Derivation of higher-order terms in FFT-based numerical homogenization 2017 Felix Dietrich
Dennis Merkert
Bernd Simeon
+ PDF Chat Numerical Model Construction with Closed Observables 2016 Felix Dietrich
Gerta Köster
Hans–Joachim Bungartz
+ Using Raspberry Pi for scientific video observation of pedestrians during a music festival 2015 Daniel H. Biedermann
Felix Dietrich
Oliver Handel
Peter M. Kielar
Michael Seitz
+ PDF Chat Gradient navigation model for pedestrian dynamics 2014 Felix Dietrich
Gerta Köster
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Parsimonious representation of nonlinear dynamical systems through manifold learning: A chemotaxis case study 2015 Carmeline J. Dsilva
Ronen Talmon
Ronald R. Coifman
Ioannis G. Kevrekidis
9
+ PDF Chat Applied Koopmanism 2012 Marko Budiơić
Ryan Mohr
Igor Mezić
7
+ Discovering governing equations from data by sparse identification of nonlinear dynamical systems 2016 Steven L. Brunton
Joshua L. Proctor
J. Nathan Kutz
7
+ Geometric harmonics: A novel tool for multiscale out-of-sample extension of empirical functions 2006 Ronald R. Coifman
Stéphane Lafon
6
+ Diffusion maps, spectral clustering and reaction coordinates of dynamical systems 2006 Boaz Nadler
Stéphane Lafon
Ronald R. Coifman
Ioannis G. Kevrekidis
6
+ PDF Chat Detecting intrinsic slow variables in stochastic dynamical systems by anisotropic diffusion maps 2009 Amit Singer
Radek Erban
Ioannis G. Kevrekidis
Ronald R. Coifman
6
+ Embedology 1991 Timothy Sauer
James A. Yorke
Martin Casdagli
5
+ A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition 2015 Matthew O. Williams
Ioannis G. Kevrekidis
Clarence W. Rowley
5
+ Detecting strange attractors in turbulence 1981 Floris Takens
4
+ Data-driven spectral decomposition and forecasting of ergodic dynamical systems 2017 Dimitrios Giannakis
4
+ PDF Chat Parallel Transport on the Cone Manifold of SPD Matrices for Domain Adaptation 2019 Or Yair
Mirela Ben‐Chen
Ronen Talmon
4
+ An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning 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
4
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
4
+ Neural ordinary differential equations 2018 Ricky T. Q. Chen
Yulia Rubanova
Jesse Bettencourt
David Duvenaud
4
+ PDF Chat On Matching, and Even Rectifying, Dynamical Systems through Koopman Operator Eigenfunctions 2018 Erik M. Bollt
Qianxiao Li
Felix Dietrich
Ioannis G. Kevrekidis
4
+ PDF Chat Nonlinear intrinsic variables and state reconstruction in multiscale simulations 2013 Carmeline J. Dsilva
Ronen Talmon
Neta Rabin
Ronald R. Coifman
Ioannis G. Kevrekidis
3
+ PDF Chat Isostables, isochrons, and Koopman spectrum for the action–angle representation of stable fixed point dynamics 2013 Alexandre Mauroy
Igor Mezić
Jeff Moehlis
3
+ PDF Chat Reduced Models in Chemical Kinetics via Nonlinear Data-Mining 2014 Eliodoro Chiavazzo
C. W. Gear
Carmeline Dsilva
Neta Rabin
Ioannis G. Kevrekidis
3
+ Numerical Methods for Ordinary Differential Equations 2016 J. C. Butcher
3
+ PDF Chat Nonparametric forecasting of low-dimensional dynamical systems 2015 Tyrus Berry
Dimitrios Giannakis
John Harlim
3
+ PDF Chat Data-Driven Model Reduction and Transfer Operator Approximation 2018 Stefan Klus
Feliks NĂŒske
PĂ©ter Koltai
Hao Wu
Ioannis G. Kevrekidis
Christof SchĂŒtte
Frank Noé
3
+ Takens embedding theorems for forced and stochastic systems 1997 J. Stark
D.S. Broomhead
Mike E. Davies
J. P. Huke
3
+ PDF Chat Normalizing Flows: An Introduction and Review of Current Methods 2020 Ivan Kobyzev
Simon J. D. Prince
Marcus A. Brubaker
3
+ Data-driven approximation of the Koopman generator: Model reduction, system identification, and control 2020 Stefan Klus
Feliks NĂŒske
Sebastian Peitz
Jan-Hendrik Niemann
Cecilia Clementi
Christof SchĂŒtte
3
+ Local kernels and the geometric structure of data 2015 Tyrus Berry
Timothy Sauer
3
+ PDF Chat Polar factorization of maps on Riemannian manifolds 2001 Robert J. McCann
3
+ None 2002 Ignacio E. Grossmann
3
+ Neural networks with multidimensional transfer functions 2002 Ch. Tsitouras
3
+ Polar factorization and monotone rearrangement of vector‐valued functions 1991 Yann Brenier
3
+ A family of embedded Runge-Kutta formulae 1980 John R. Dormand
P.J. Prince
3
+ THE ELEVENTH AND TWELFTH DATA RELEASES OF THE SLOAN DIGITAL SKY SURVEY: FINAL DATA FROM SDSS-III 2015 Shadab Alam
Franco D. Albareti
Carlos Allende Prieto
F. Anders
Scott F. Anderson
Timothy Anderton
Brett H. Andrews
E. Armengaud
É. Aubourg
S. Bailey
2
+ PDF Chat Optimal Transport for Domain Adaptation 2016 Nicolas Courty
RĂ©mi Flamary
Devis Tuia
Alain Rakotomamonjy
2
+ A new algorithm for Monte Carlo simulation of Ising spin systems 1975 Alfred B. Bortz
M. H. Kalos
Joel L. Lebowitz
2
+ PDF Chat Intrinsic dimensionality estimation of submanifolds in R<sup>d</sup> 2005 Matthias Hein
Jean-Yves Audibert
2
+ Integrals of nonlinear equations of evolution and solitary waves 1968 Peter D. Lax
2
+ PDF Chat Chimeras in globally coupled oscillatory systems: From ensembles of oscillators to spatially continuous media 2015 Lennart Schmidt
Katharina Krischer
2
+ New High‐Order Runge‐Kutta Formulas with an Arbitrarily Small Truncation Error 1966 E. Fehlberg
2
+ New Runge-Kutta algorithms for numerical simulation in dynamical astronomy 1978 John R. Dormand
P.J. Prince
2
+ PDF Chat Chimera states: coexistence of coherence and incoherence in networks of coupled oscillators 2015 Mark J. Panaggio
Daniel M. Abrams
2
+ Numerical methods for strong solutions of stochastic differential equations: an overview 2004 Kevin Burrage
Pamela Burrage
Tianhai Tian
2
+ The International Linear Collider Technical Design Report - Volume 3.II: Accelerator Baseline Design 2013 C. Adolphsen
2
+ PDF Chat Diffusion Maps, Reduction Coordinates, and Low Dimensional Representation of Stochastic Systems 2008 Ronald R. Coifman
Ioannis G. Kevrekidis
Stéphane Lafon
Mauro Maggioni
Boaz Nadler
2
+ PDF Chat The International Linear Collider Technical Design Report - Volume 1: Executive Summary 2013 T. Behnke
J. E. Brau
B. Foster
J. Fuster
Mike Harrison
J. M. Paterson
Michael E. Peskin
M. M. Stanitzki
Nicholas Walker
H. Yamamoto
2
+ PDF Chat Clustering as a Prerequisite for Chimera States in Globally Coupled Systems 2015 Lennart Schmidt
Katharina Krischer
2
+ Anisotropic diffusion on sub-manifolds with application to Earth structure classification 2011 Dan Kushnir
Ali Haddad
Ronald R. Coifman
2
+ Approximate inertial manifolds for the Kuramoto-Sivashinsky equation: Analysis and computations 1990 Michael S. Jolly
I.G. Kevrekidis
Edriss S. Titi
2
+ Generic Observability of Differentiable Systems 1981 Dirk Aeyels
2
+ Linear algebra algorithms as dynamical systems 2008 Moody T. Chu
2
+ A first course in the numerical analysis of differential equations 2010 Arieh Iserles
2
+ PDF Chat Constructing Runge–Kutta methods with the use of artificial neural networks 2013 Angelos A. Anastassi
2