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2020 – today
- 2024
[j11]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: 94-110 (2024)- [i15]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
- [i14]Dhruvit Patel, Edward Ott:
Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems. CoRR abs/2207.00521 (2022) - [i13]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
- [p1]Jaideep Pathak, Edward Ott:
Reservoir Computing for Forecasting Large Spatiotemporal Dynamical Systems. Reservoir Computing 2021: 117-138 - [i12]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) - [i11]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 abs/2108.12129 (2021) - 2020
- [j10]Pantelis-Rafail 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: 191-217 (2020) - [i10]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) - [i9]Amitava Banerjee, Joseph D. Hart, Rajarshi Roy, Edward Ott:
Link inference of noisy delay-coupled networks: Machine learning and opto-electronic experimental tests. CoRR abs/2010.15289 (2020)
2010 – 2019
- 2019
- [i8]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) - [i7]Sanjukta Krishnagopal, Michelle Girvan, Edward Ott, Brian R. Hunt:
Separation of Chaotic Signals by Reservoir Computing. CoRR abs/1910.10080 (2019) - [i6]Amitava Banerjee, Jaideep Pathak, Rajarshi Roy, Juan G. Restrepo, Edward Ott:
Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links. CoRR abs/1912.02721 (2019) - 2018
- [i5]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) - 2014
- [i4]Andrew Melchionna, Jesus Caloca, Shane Squires, Thomas M. Antonsen Jr., Edward Ott, Michelle Girvan:
The Impact of Imperfect Information on Network Attack. CoRR abs/1412.3204 (2014) - 2013
- [j9]Can Guven, Erin Rericha, Edward Ott, Wolfgang Losert:
Modeling and Measuring Signal Relay in Noisy Directed Migration of Cell Groups. PLoS Comput. Biol. 9(5) (2013) - [i3]John Platig, Edward Ott, Michelle Girvan:
Robustness of Network Measures to Link Errors. CoRR abs/1309.4720 (2013) - [i2]Ari Zitin, Alex Gorowora, Shane Squires, Mark Herrera, Thomas M. Antonsen Jr., Michelle Girvan, Edward Ott:
Spatially embedded growing small-world networks. CoRR abs/1312.7165 (2013)
2000 – 2009
- 2009
- [j8]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): 3129-3141 (2009) - 2008
- [j7]Edward Ott:
Attractor dimensions. Scholarpedia 3(3): 2110 (2008) - 2006
- [j6]Edward Ott:
Controlling chaos. Scholarpedia 1(8): 1699 (2006) - [j5]Edward Ott:
Basin of attraction. Scholarpedia 1(8): 1701 (2006) - [j4]Edward Ott:
Crises. Scholarpedia 1(10): 1700 (2006) - 2004
- [j3]David J. Deshazer, Romulus Breban, Edward Ott, Rajarshi Roy:
Phase Synchronization in a Modulated Chaotic Laser Array. Int. J. Bifurc. Chaos 14(9): 3205-3216 (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) - 2000
- [j2]Naresh Sharma, Edward Ott:
Exploiting Synchronization to Combat Channel distortions in Communication with Chaotic Systems. Int. J. Bifurc. Chaos 10(4): 777-786 (2000)
1990 – 1999
- 1999
- [c1]Naresh Sharma, Edward Ott:
Combating channel distortions for chaotic signals. ICASSP 1999: 1285-1288 - 1996
- [j1]Edward Ott:
Chaotic Behavior of Deterministic Dissipative Systems (Milos Marek and Igor Schreiber). SIAM Rev. 38(4): 695-696 (1996)
Coauthor Index
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