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Jaideep Pathak

6PUBLICATIONS

10CO-AUTHORS

Deep learningContext learningAdversarial machine learningNeural networksSemi- and unsupervised learning

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Publications (6)

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|Jul 09, 2021

Using data assimilation to train a hybrid forecast system that combines machine-learning and knowledge-based components.

Alexander Wikner, Jaideep Pathak, Brian R Hunt

|Jun 04, 2020

Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems.

Alexander Wikner, Jaideep Pathak, Brian Hunt

|Jan 08, 2020

Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model.

Jaideep Pathak, Alexander Wikner, Rebeckah Fussell

|Jan 03, 2020

Using machine learning to assess short term causal dependence and infer network links.

Amitava Banerjee, Jaideep Pathak, Rajarshi Roy

|Jan 01, 2018

Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data.

Jaideep Pathak, Zhixin Lu, Brian R Hunt

|May 01, 2017

Reservoir observers: Model-free inference of unmeasured variables in chaotic systems.

Zhixin Lu, Jaideep Pathak, Brian Hunt

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Frequent Collaborators

2 joint publications

Zhixin Lu

2 joint publications

Alexander Wikner

2 joint publications

Michelle Girvan

2 joint publications

Istvan Szunyogh

1 joint publications

Amitava Banerjee

1 joint publications

Rajarshi Roy

1 joint publications

Juan G Restrepo

1 joint publications

Sarthak Chandra

1 joint publications

Troy Arcomano

1 joint publications

Edward Ott

Frequent Collaborators

2 joint publications

Zhixin Lu

2 joint publications

Alexander Wikner

2 joint publications

Michelle Girvan

2 joint publications

Istvan Szunyogh

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