Tom Bertalan

17 papers C 1Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Data-Driven, ML-assisted Approaches to Problem Well-Posedness.
CoRR
Tom Bertalan, George A. Kevrekidis, Eleni D. Koronaki, Siddhartha Mishra, Elizaveta Rebrova, Yannis G. Kevrekidis
2024 J jnl
Data-driven and physics informed modeling of Chinese Hamster Ovary cell bioreactors.
Comput. Chem. Eng.
Tianqi Cui, Tom Bertalan, Nelson Ndahiro, Pratik Khare, Michael Betenbaugh, Costas Maranas, Ioannis G. Kevrekidis
2024 J jnl
Implementation and (Inverse Modified) Error Analysis for Implicitly Templated ODE-Nets.
SIAM J. Appl. Dyn. Syst.
Aiqing Zhu, Tom Bertalan, Beibei Zhu, Yifa Tang, Ioannis G. Kevrekidis
2023 J jnl
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets.
CoRR
Aiqing Zhu, Tom Bertalan, Beibei Zhu, Yifa Tang, Ioannis G. Kevrekidis
2022 J jnl
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators.
SIAM J. Sci. Comput.
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
2021 C conf
Coarse-grained and Emergent Distributed Parameter Systems from Data.
ACC
Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis
2021 J jnl
Initializing LSTM internal states via manifold learning.
CoRR
Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis
2021 J jnl
Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning.
CoRR
Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis
2021 J jnl
Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators.
CoRR
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
2020 J jnl
Coarse-grained and emergent distributed parameter systems from data.
CoRR
Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis
2020 J jnl
Emergent Spaces for Coupled Oscillators.
Frontiers Comput. Neurosci.
Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis
2020 J jnl
Emergent spaces for coupled oscillators.
CoRR
Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis
2020 J jnl
LOCA: LOcal Conformal Autoencoder for standardized data coordinates.
CoRR
Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman
2020 J jnl
Learning emergent PDEs in a learned emergent space.
CoRR
Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis
2020 J jnl
Transformations between deep neural networks.
CoRR
Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis
2018 J jnl
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning.
IEEE Access
Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
2017 J jnl
Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities.
Frontiers Comput. Neurosci.
Tom Bertalan, Yan Wu, Carlo R. Laing, C. William Gear, Ioannis G. Kevrekidis