Concepedia

Tom Bertalan

TB

Statistics

Publications

7

Citations

160

H-Index

7

Active since

2018

Affiliations

Johns Hopkins University(Current)

Technical University of Munich

Princeton University

Institute of High Performance Computing

University of Potsdam

Tom Bertalan is an author at Johns Hopkins University specializing in machine learning, computing, and numerical methods for differential equations.

Publications per year

2018–2024

7

Publications

7

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

Felix Dietrich, Alexei G. Makeev, George A. Kevrekidis et al. · Chaos An Interdisciplinary Journal of Nonlinear Science · 2023 · 45 citations · Full text

Computing, Physics, Machine Learning +16

Learning emergent partial differential equations in a learned emergent space

Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem et al. · Nature Communications · 2022 · 35 citations · Full text

Natural Sciences, Mathematics, Complex Systems +16

An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning

Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich et al. · IEEE Access · 2018 · 21 citations · Full text

Computing, Data Science, Mathematics +14

Data-driven and physics informed modeling of Chinese Hamster Ovary cell bioreactors

Tianqi Cui, Tom Bertalan, Nelson Ndahiro et al. · Computers & Chemical Engineering · 2024 · 20 citations · Full text

Engineering, Bioengineering, Biological Engineering +12

Local conformal autoencoder for standardized data coordinates

Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich et al. · Proceedings of the National Academy of Sciences · 2020 · 16 citations · Full text

Computing, Computer Science, Data Science +14

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