Thomas M. Antonsen Jr.

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 4

Top Topics

Reservoir Computing

Imperfect Information

Qualitative Differential Equations

Top Venues

GECCO Companion

Neural Networks

Publications

Ravi Chepuri, Dael Amzalag, Thomas M. Antonsen Jr., Michelle Girvan
Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems. CoRR (2024)
Alexander Wikner, Joseph Harvey, Michelle Girvan, Brian R. Hunt, Andrew Pomerance, Thomas M. Antonsen Jr., Edward Ott
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing. Neural Networks 170 (2024)
Daniel Younis, Thomas M. Antonsen Jr., Luke A. Johnson, Eric O. Scott, Dmitri Kaganovich, Bahman Hafizi
Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields. GECCO Companion (2023)
Keshav Srinivasan, Nolan Coble, Joy Hamlin, Thomas M. Antonsen Jr., Edward Ott, Michelle Girvan
Parallel Machine Learning for Forecasting the Dynamics of Complex Networks. CoRR (2021)
Andrew Melchionna, Jesus Caloca, Shane Squires, Thomas M. Antonsen Jr., Edward Ott, Michelle Girvan
The Impact of Imperfect Information on Network Attack. CoRR (2014)
Ari Zitin, Alex Gorowora, Shane Squires, Mark Herrera, Thomas M. Antonsen Jr., Michelle Girvan, Edward Ott
Spatially embedded growing small-world networks. CoRR (2013)
Weiming An, Viktor K. Decyk, Warren B. Mori, Thomas M. Antonsen Jr.
An improved iteration loop for the three dimensional quasi-static particle-in-cell algorithm: QuickPIC. J. Comput. Phys. 250 (2013)
Chengkun Huang, Viktor K. Decyk, Chuang Ren, M. Zhou, Wei Lu, Warren B. Mori, James H. Cooley, Thomas M. Antonsen Jr., Thomas C. Katsouleas
QUICKPIC: A highly efficient particle-in-cell code for modeling wakefield acceleration in plasmas. J. Comput. Phys. 217 (2) (2006)