Tom Bertalan

According to our database, Tom Bertalan authored at least 16 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

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

Tianqi Cui, Tom Bertalan, Nelson Ndahiro, Pratik Khare, Michael Betenbaugh, Costas Maranas, Ioannis G. Kevrekidis

Comput. Chem. Eng., 2024

2023

Some of the variables, some of the parameters, some of the times, with some physics known: Identification with partial information.

Saurabh Malani, Tom S. Bertalan, Tianqi Cui, Jose L. Avalos, Michael Betenbaugh, Ioannis G. Kevrekidis

Comput. Chem. Eng., October, 2023

Data-driven and Physics Informed Modelling of Chinese Hamster Ovary Cell Bioreactors.

Tianqi Cui, Tom S. Bertalan, Nelson Ndahiro, Pratik Khare, Michael Betenbaugh, Costas Maranas, Ioannis G. Kevrekidis

CoRR, 2023

Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets.

Aiqing Zhu, Tom Bertalan, Beibei Zhu, Yifa Tang, Ioannis G. Kevrekidis

CoRR, 2023

2022

Personalized Algorithm Generation: A Case Study in Learning ODE Integrators.

Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li

SIAM J. Sci. Comput., 2022

2021

Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning.

Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis

CoRR, 2021

Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators.

Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li

CoRR, 2021

Initializing LSTM internal states via manifold learning.

Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis

CoRR, 2021

Coarse-grained and Emergent Distributed Parameter Systems from Data.

Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis

Proceedings of the 2021 American Control Conference, 2021

2020

Emergent Spaces for Coupled Oscillators.

Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis

Frontiers Comput. Neurosci., 2020

Learning emergent PDEs in a learned emergent space.

Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis

CoRR, 2020

Transformations between deep neural networks.

Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis

CoRR, 2020

LOCA: LOcal Conformal Autoencoder for standardized data coordinates.

Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman

CoRR, 2020

2018

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

Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis

IEEE Access, 2018

2017

Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities.

Tom Bertalan, Yan Wu, Carlo R. Laing, C. William Gear, Ioannis G. Kevrekidis

Frontiers Comput. Neurosci., 2017

2014

OpenMG: A new multigrid implementation in Python.

Tom S. Bertalan, Akand W. Islam, Roger B. Sidje, Eric S. Carlson

Numer. Linear Algebra Appl., 2014