Brian R. Hunt

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 9

Top Topics

Cascade Correlation

Reservoir Computing

Blind Signal Separation

General Loss Functions

Top Venues

Neural Networks

Publications

Dhruvit Patel, Troy Arcomano, Brian R. Hunt, Istvan Szunyogh, Edward Ott
Exploring the Potential of Hybrid Machine-Learning/Physics-Based Modeling for Atmospheric/Oceanic Prediction Beyond the Medium Range. 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)
Alexander Wikner, Brian R. Hunt, Joseph Harvey, Michelle Girvan, Edward Ott
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization. CoRR (2022)
Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Istvan Szunyogh, Michelle Girvan, Edward Ott
Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components. CoRR (2021)
Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott
Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems. CoRR (2020)
Pantelis R. Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. Neural Networks 126 (2020)
Pantelis R. Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos
Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms. CoRR (2019)
Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt
Separation of Chaotic Signals by Reservoir Computing. CoRR (2019)
Jaideep Pathak, Alexander Wikner, Rebeckah Fussell, Sarthak Chandra, Brian R. Hunt, Michelle Girvan, Edward Ott
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model. CoRR (2018)
Patrick M. Fitzpatrick, Brian R. Hunt
Absolute Continuity of a Function and Uniform Integrability of Its Divided Differences. Am. Math. Mon. 122 (4) (2015)
Russell D. Halper, Eric J. Harder, Brian R. Hunt, James A. Yorke
Stability of TCP Dynamics in Large Data Networks. SIAM J. Appl. Dyn. Syst. 8 (1) (2009)
Ian Frommer, Eric J. Harder, Brian R. Hunt, Ryan Lance, Edward Ott, James A. Yorke
Bifurcations and Chaos in a Periodically probed Computer Network. Int. J. Bifurc. Chaos 19 (9) (2009)
Michael Roberts, Wayne Hayes, Brian R. Hunt, Stephen M. Mount, James A. Yorke
Reducing storage requirements for biological sequence comparison. Bioinform. 20 (18) (2004)
Ian Frommer, Eric J. Harder, Brian R. Hunt, Ryan Lance, Edward Ott, James A. Yorke
Two Models for the Study of Congested Internet Connections CoRR (2004)
Michael Roberts, Brian R. Hunt, James A. Yorke, Randall A. Bolanos, Arthur L. Delcher
A Preprocessor for Shotgun Assembly of Large Genomes. J. Comput. Biol. 11 (4) (2004)