Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Tom Bertalan

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Chaos (Woodbury, N.Y.)|July 18, 2024
Transformations establishing equivalence across neural networks: When have two networks learned the same task?Tom Bertalan, Felix Dietrich, Ioannis G Kevrekidis
Chaos (Woodbury, N.Y.)|January 3, 2020
On learning Hamiltonian systems from dataTom Bertalan, Felix Dietrich, Igor Mezić, et al.
Frontiers in Computational Neuroscience|June 30, 2017
Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural HeterogeneitiesTom Bertalan, Yan Wu, Carlo Laing, et al.
Iscience|July 31, 2025
Integration of Bayesian optimization and solution thermodynamics to optimize media design for mammalian biomanufacturingNelson Ndahiro, Edward Ma, Tom Bertalan, et al.
Frontiers in Computational Neuroscience|June 13, 2020
Emergent Spaces for Coupled OscillatorsThomas N Thiem, Mahdi Kooshkbaghi, Tom Bertalan, et al.
Chaos (Woodbury, N.Y.)|October 2, 2021
Initializing LSTM internal states via manifold learningFelix P Kemeth, Tom Bertalan, Nikolaos Evangelou, et al.
Chaos (Woodbury, N.Y.)|August 3, 2021
Global and local reduced models for interacting, heterogeneous agentsThomas N Thiem, Felix P Kemeth, Tom Bertalan, et al.
Chaos (Woodbury, N.Y.)|March 1, 2023
Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learningFelix Dietrich, Alexei Makeev, George Kevrekidis, et al.
PNAS Nexus|June 19, 2026
Data-driven, ML-assisted approaches to problem well-posednessTom Bertalan, George A Kevrekidis, Eleni D Koronaki, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 24, 2020
Local conformal autoencoder for standardized data coordinatesErez Peterfreund, Ofir Lindenbaum, Felix Dietrich, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Chaos (Woodbury, N.Y.)|July 18, 2024
Transformations establishing equivalence across neural networks: When have two networks learned the same task?Tom Bertalan, Felix Dietrich, Ioannis G Kevrekidis
Chaos (Woodbury, N.Y.)|January 3, 2020
On learning Hamiltonian systems from dataTom Bertalan, Felix Dietrich, Igor Mezić, et al.
Frontiers in Computational Neuroscience|June 30, 2017
Coarse-Grained Descriptions of Dynamics for Networks with Both Intrinsic and Structural HeterogeneitiesTom Bertalan, Yan Wu, Carlo Laing, et al.
Iscience|July 31, 2025
Integration of Bayesian optimization and solution thermodynamics to optimize media design for mammalian biomanufacturingNelson Ndahiro, Edward Ma, Tom Bertalan, et al.
Frontiers in Computational Neuroscience|June 13, 2020
Emergent Spaces for Coupled OscillatorsThomas N Thiem, Mahdi Kooshkbaghi, Tom Bertalan, et al.
Chaos (Woodbury, N.Y.)|October 2, 2021
Initializing LSTM internal states via manifold learningFelix P Kemeth, Tom Bertalan, Nikolaos Evangelou, et al.
Chaos (Woodbury, N.Y.)|August 3, 2021
Global and local reduced models for interacting, heterogeneous agentsThomas N Thiem, Felix P Kemeth, Tom Bertalan, et al.
Chaos (Woodbury, N.Y.)|March 1, 2023
Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learningFelix Dietrich, Alexei Makeev, George Kevrekidis, et al.
PNAS Nexus|June 19, 2026
Data-driven, ML-assisted approaches to problem well-posednessTom Bertalan, George A Kevrekidis, Eleni D Koronaki, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 24, 2020
Local conformal autoencoder for standardized data coordinatesErez Peterfreund, Ofir Lindenbaum, Felix Dietrich, et al.
Pageof 2