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Brian R. Hunt
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2020 – today
- 2024
- [j7]Alexander Wikner
, Joseph Harvey, Michelle Girvan, Brian R. Hunt, Andrew Pomerance
Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing. Neural Networks 170: 94-110 (2024) - [i8]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 abs/2405.19518 (2024) - 2022
- [i7]Alexander Wikner, Brian R. Hunt, Joseph Harvey, Michelle Girvan, Edward Ott:
Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization. CoRR abs/2211.05262 (2022) - 2021
- [i6]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 abs/2102.07819 (2021) - 2020
- [j6]Pantelis-Rafail Vlachas
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. Neural Networks 126: 191-217 (2020) - [i5]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 abs/2002.05514 (2020)
2010 – 2019
- 2019
- [i4]Pantelis-Rafail 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 abs/1910.05266 (2019) - [i3]Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt:
Separation of Chaotic Signals by Reservoir Computing. CoRR abs/1910.10080 (2019) - 2018
- [i2]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 abs/1803.04779 (2018) - 2015
- [j5]Patrick M. Fitzpatrick, Brian R. Hunt:
Absolute Continuity of a Function and Uniform Integrability of Its Divided Differences. Am. Math. Mon. 122(4): 362-366 (2015)
2000 – 2009
- 2009
- [j4]Ian Frommer, Eric J. Harder, Brian R. Hunt, Ryan Lance, Edward Ott
Bifurcations and Chaos in a Periodically probed Computer Network. Int. J. Bifurc. Chaos 19(9): 3129-3141 (2009) - [j3]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): 146-159 (2009) - 2004
- [j2]Michael Roberts, Wayne B. Hayes
Reducing storage requirements for biological sequence comparison. Bioinform. 20(18): 3363-3369 (2004) - [j1]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): 734-752 (2004) - [i1]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 cs.NI/0409022 (2004)
Coauthor Index
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