Felix Dietrich

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Molecular Dynamics Simulations

Duchenne Muscular Dystrophy

Top Venues

Chaos (Woodbury, N.Y.)

Interface focus

Proceedings of the National Academy of Sciences of the United States of America

This page only lists publications with an associated author ORCID identifier.

Publications

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. Chaos (Woodbury, N.Y.) 34 (1) (2024)
Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G Kevrekidis
Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning. Chaos (Woodbury, N.Y.) 33 (2) (2023)
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: data-driven studies of parameter (non)identifiability. PNAS nexus 1 (4) (2022)
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: data-driven studies of parameter (non)identifiability. PNAS nexus 1 (4) (2022)
Felix P Kemeth, Tom Bertalan, Thomas N Thiem, Felix Dietrich, Sung Joon Moon, Carlo R Laing, Ioannis G Kevrekidis
Learning emergent partial differential equations in a learned emergent space. Nature communications 13 (1) (2022)
Tom Bertalan, Felix Dietrich, Igor Mezić, Ioannis G Kevrekidis
On learning Hamiltonian systems from data. Chaos (Woodbury, N.Y.) 29 (12) (2020)
Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G Kevrekidis, Ronald R Coifman
Local conformal autoencoder for standardized data coordinates. Proceedings of the National Academy of Sciences of the United States of America 117 (49) (2020)
Seungjoon Lee, Felix Dietrich, George Em Karniadakis, Ioannis G Kevrekidis
Linking Gaussian process regression with data-driven manifold embeddings for nonlinear data fusion. Interface focus 9 (3) (2019)
Qianxiao Li, Felix Dietrich, Erik M Bollt, Ioannis G Kevrekidis
Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator. Chaos (Woodbury, N.Y.) 27 (10) (2018)