Edward Ott
Affiliations: | University of Maryland, College Park, College Park, MD |
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"Edward Ott"Mean distance: 16.47 (cluster 29)
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Sign in to add mentorJerry Shmoys | grad student | Polytechnic Institute of Brooklyn | ||
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Publications
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Wikner A, Harvey J, Girvan M, et al. (2023) Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing. Neural Networks : the Official Journal of the International Neural Network Society. 170: 94-110 |
Srinivasan K, Coble N, Hamlin J, et al. (2022) Parallel Machine Learning for Forecasting the Dynamics of Complex Networks. Physical Review Letters. 128: 164101 |
Chandra S, Ott E, Girvan M. (2020) Critical network cascades with re-excitable nodes: Why treelike approximations usually work, when they break down, and how to correct them. Physical Review. E. 101: 062304 |
Ma S, Xiao B, Drikas Z, et al. (2020) Wave scattering properties of multiple weakly coupled complex systems. Physical Review. E. 101: 022201 |
Virkar YS, Restrepo JG, Shew WL, et al. (2020) Dynamic regulation of resource transport induces criticality in interdependent networks of excitable units. Physical Review. E. 101: 022303 |
Ma S, Phang S, Drikas Z, et al. (2020) Efficient Statistical Model for Predicting Electromagnetic Wave Distribution in Coupled Enclosures Physical Review Applied. 14 |
Banerjee A, Pathak J, Roy R, et al. (2019) Using machine learning to assess short term causal dependence and infer network links. Chaos (Woodbury, N.Y.). 29: 121104 |
Chandra S, Girvan M, Ott E. (2019) Complexity reduction ansatz for systems of interacting orientable agents: Beyond the Kuramoto model. Chaos (Woodbury, N.Y.). 29: 053107 |
Zhou M, Ott E, Antonsen TM, et al. (2019) Scattering statistics in nonlinear wave chaotic systems. Chaos (Woodbury, N.Y.). 29: 033113 |
Ma S, Xiao B, Hong R, et al. (2019) Classification and Prediction of Wave Chaotic Systems with Machine Learning Techniques Acta Physica Polonica A. 136: 757-764 |