Brian R. Hunt - RankMe

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Tailored Forecasting from Short Time Series via Meta-learning. CoRR Declan A. Norton, Edward Ott, Andrew Pomerance, Brian R. Hunt, Michelle Girvan
2024	J	`jnl`	Exploring the Potential of Hybrid Machine-Learning/Physics-Based Modeling for Atmospheric/Oceanic Prediction Beyond the Medium Range. CoRR Dhruvit Patel, Troy Arcomano, Brian R. Hunt, Istvan Szunyogh, Edward Ott
2024	J	`jnl`	Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing. Neural Networks Alexander Wikner, Joseph Harvey, Michelle Girvan, Brian R. Hunt, Andrew Pomerance, Thomas M. Antonsen Jr., Edward Ott
2022	J	`jnl`	Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization. CoRR Alexander Wikner, Brian R. Hunt, Joseph Harvey, Michelle Girvan, Edward Ott
2021	J	`jnl`	Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components. CoRR Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Istvan Szunyogh, Michelle Girvan, Edward Ott
2020	J	`jnl`	Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics. Neural Networks Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos
2020	J	`jnl`	Combining Machine Learning with Knowledge-Based Modeling for Scalable Forecasting and Subgrid-Scale Closure of Large, Complex, Spatiotemporal Systems. CoRR Alexander Wikner, Jaideep Pathak, Brian R. Hunt, Michelle Girvan, Troy Arcomano, Istvan Szunyogh, Andrew Pomerance, Edward Ott
2019	J	`jnl`	Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms. CoRR Pantelis-Rafail Vlachas, Jaideep Pathak, Brian R. Hunt, Themistoklis P. Sapsis, Michelle Girvan, Edward Ott, Petros Koumoutsakos
2019	J	`jnl`	Separation of Chaotic Signals by Reservoir Computing. CoRR Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt
2018	J	`jnl`	Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model. CoRR Jaideep Pathak, Alexander Wikner, Rebeckah Fussell, Sarthak Chandra, Brian R. Hunt, Michelle Girvan, Edward Ott
2015	J	`jnl`	Absolute Continuity of a Function and Uniform Integrability of Its Divided Differences. Am. Math. Mon. Patrick M. Fitzpatrick, Brian R. Hunt
2009	J	`jnl`	Bifurcations and Chaos in a Periodically probed Computer Network. Int. J. Bifurc. Chaos Ian Frommer, Eric J. Harder, Brian R. Hunt, Ryan Lance, Edward Ott, James A. Yorke
2009	J	`jnl`	Stability of TCP Dynamics in Large Data Networks. SIAM J. Appl. Dyn. Syst. Russell D. Halper, Eric J. Harder, Brian R. Hunt, James A. Yorke
2004	J	`jnl`	A Preprocessor for Shotgun Assembly of Large Genomes. J. Comput. Biol. Michael Roberts, Brian R. Hunt, James A. Yorke, Randall A. Bolanos, Arthur L. Delcher
2004	J	`jnl`	Reducing storage requirements for biological sequence comparison. Bioinform. Michael Roberts, Wayne B. Hayes, Brian R. Hunt, Stephen M. Mount, James A. Yorke
2004	J	`jnl`	Two Models for the Study of Congested Internet Connections CoRR Ian Frommer, Eric J. Harder, Brian R. Hunt, Ryan Lance, Edward Ott, James A. Yorke