Felix Dietrich

About Felix Dietrich

Felix Dietrich, With an exceptional h-index of 15 and a recent h-index of 13 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of numerical analysis, machine learning, complex dynamical systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-fidelity Gaussian process surrogate modeling for regression problems in physics

Systematic construction of continuous-time neural networks for linear dynamical systems

CONTINUOUS-TIME NEURAL NETWORKS FOR MODELING LINEAR DYNAMICAL SYSTEMS

Sampling weights of deep neural networks

Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator

A recursively recurrent neural network (R2N2) architecture for learning iterative algorithms

Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity

On the use of neural networks for full waveform inversion

Felix Dietrich Information

University

Position

Postdoctoral Fellow

Citations(all)

1201

Citations(since 2020)

1000

Cited By

514

hIndex(all)

15

hIndex(since 2020)

13

i10Index(all)

27

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Felix Dietrich Skills & Research Interests

numerical analysis

machine learning

complex dynamical systems

Top articles of Felix Dietrich

Multi-fidelity Gaussian process surrogate modeling for regression problems in physics

2023

Systematic construction of continuous-time neural networks for linear dynamical systems

arXiv preprint arXiv:2403.16215

2024/3/24

Felix Dietrich
Felix Dietrich

H-Index: 11

CONTINUOUS-TIME NEURAL NETWORKS FOR MODELING LINEAR DYNAMICAL SYSTEMS

2024/3/3

Felix Dietrich
Felix Dietrich

H-Index: 11

Sampling weights of deep neural networks

Advances in Neural Information Processing Systems

2024/2/13

Qing Sun
Qing Sun

H-Index: 5

Felix Dietrich
Felix Dietrich

H-Index: 11

Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator

Chaos: An Interdisciplinary Journal of Nonlinear Science

2024/1/1

Felix Dietrich
Felix Dietrich

H-Index: 11

Constantinos Siettos
Constantinos Siettos

H-Index: 17

A recursively recurrent neural network (R2N2) architecture for learning iterative algorithms

SIAM Journal on Scientific Computing

2024/4/30

Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity

arXiv preprint arXiv:2312.13155

2023/12/20

Ofir Lindenbaum
Ofir Lindenbaum

H-Index: 10

Felix Dietrich
Felix Dietrich

H-Index: 11

On the use of neural networks for full waveform inversion

Computer Methods in Applied Mechanics and Engineering

2023/10/1

Felix Dietrich
Felix Dietrich

H-Index: 11

Stefan Kollmannsberger
Stefan Kollmannsberger

H-Index: 21

Double diffusion maps and their latent harmonics for scientific computations in latent space

Journal of Computational Physics

2023/7/15

Quantum process tomography of unitary maps from time-delayed measurements

Quantum Information Processing

2023/6/22

Irene López Gutiérrez
Irene López Gutiérrez

H-Index: 1

Felix Dietrich
Felix Dietrich

H-Index: 11

Transporting Densities Across Dimensions

arXiv preprint arXiv:2305.16227

2023/5/25

Felix Dietrich
Felix Dietrich

H-Index: 11

Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning

Chaos: An Interdisciplinary Journal of Nonlinear Science

2023/2/1

Approximation of Response Surfaces from Partial Information

2023

Felix Dietrich
Felix Dietrich

H-Index: 11

Data-Driven Solver Selection for Sparse Linear Matrices at Scale

2023

Felix Dietrich
Felix Dietrich

H-Index: 11

Learning effective SDEs from Brownian dynamic simulations of colloidal particles

Molecular Systems Design & Engineering

2023

Felix Dietrich
Felix Dietrich

H-Index: 11

Multi-fidelity machine learning modeling for wheel locomotion

11th Asia-Pacific Regional Conference of the International society for terrain-vehicle systems, ISTVS 2022

2022/9/29

Felix Dietrich
Felix Dietrich

H-Index: 11

On the parameter combinations that matter and on those that do not: Data-driven studies of parameter (non) identifiability

PNAS Nexus

2022/9

Felix Dietrich
Felix Dietrich

H-Index: 11

Learning emergent partial differential equations in a learned emergent space

Nature communications

2022/6/9

Tom Bertalan
Tom Bertalan

H-Index: 4

Felix Dietrich
Felix Dietrich

H-Index: 11

Learning the temporal evolution of multivariate densities via normalizing flows

Chaos: An Interdisciplinary Journal of Nonlinear Science

2022/3/1

Felix Dietrich
Felix Dietrich

H-Index: 11

Jinqiao Duan
Jinqiao Duan

H-Index: 27

Safe policy improvement approaches and their limitations

2022/2/3

Felix Dietrich
Felix Dietrich

H-Index: 11

See List of Professors in Felix Dietrich University(Technische Universität München)

Co-Authors

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