Tom Bertalan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Stochastic Differential Equations

Manifold Learning

Top Venues

Frontiers Comput. Neurosci.

SIAM J. Sci. Comput.

Publications

Tianqi Cui, Tom Bertalan, Nelson Ndahiro, Pratik Khare, Michael Betenbaugh, Costas Maranas, Ioannis G. Kevrekidis
Data-driven and physics informed modeling of Chinese Hamster Ovary cell bioreactors. Comput. Chem. Eng. 183 (2024)
Aiqing Zhu, Tom Bertalan, Beibei Zhu, Yifa Tang, Ioannis G. Kevrekidis
Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets. CoRR (2023)
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators. SIAM J. Sci. Comput. 44 (4) (2022)
Felix P. Kemeth, Tom Bertalan, Nikolaos Evangelou, Tianqi Cui, Saurabh Malani, Ioannis G. Kevrekidis
Initializing LSTM internal states via manifold learning. CoRR (2021)
Felix Dietrich, Alexei Makeev, George Kevrekidis, Nikolaos Evangelou, Tom Bertalan, Sebastian Reich, Ioannis G. Kevrekidis
Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning. CoRR (2021)
Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis
Coarse-grained and Emergent Distributed Parameter Systems from Data. ACC (2021)
Yue Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, Qianxiao Li
Personalized Algorithm Generation: A Case Study in Meta-Learning ODE Integrators. CoRR (2021)
Erez Peterfreund, Ofir Lindenbaum, Felix Dietrich, Tom Bertalan, Matan Gavish, Ioannis G. Kevrekidis, Ronald R. Coifman
LOCA: LOcal Conformal Autoencoder for standardized data coordinates. CoRR (2020)
Tom Bertalan, Felix Dietrich, Ioannis G. Kevrekidis
Transformations between deep neural networks. CoRR (2020)
Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis
Emergent Spaces for Coupled Oscillators. Frontiers Comput. Neurosci. 14 (2020)
Hassan Arbabi, Felix P. Kemeth, Tom Bertalan, Ioannis G. Kevrekidis
Coarse-grained and emergent distributed parameter systems from data. CoRR (2020)
Felix P. Kemeth, Tom Bertalan, Thomas N. Thiem, Felix Dietrich, Sung Joon Moon, Carlo R. Laing, Ioannis G. Kevrekidis
Learning emergent PDEs in a learned emergent space. CoRR (2020)
Thomas N. Thiem, Mahdi Kooshkbaghi, Tom Bertalan, Carlo R. Laing, Ioannis G. Kevrekidis
Emergent spaces for coupled oscillators. CoRR (2020)
Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Höhlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis
An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning. IEEE Access 6 (2018)
Tom Bertalan, Yan Wu, Carlo R. Laing, C. William Gear, Ioannis G. Kevrekidis
Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural Heterogeneities. Frontiers Comput. Neurosci. 11 (2017)