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Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems.

J. Wu, K. Kashinath, A. Albert, D. Chirila, Prabhat, and H. Xiao. J. Comput. Phys., (2020)

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Kashinath Basu

Karthik Arumugam

Karthik Gururaj

Karthik Narasimhan

Karthik Baddam

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FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural OperatorsJ. Pathak, S. Subramanian, P. Harrington, S. Raja, A. Chattopadhyay, M. Mardani, T. Kurth, D. Hall, Z. Li, K. Azizzadenesheli and 3 other author(s). (February 2022)arXiv:2202.11214 physics.FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators.T. Kurth, S. Subramanian, P. Harrington, J. Pathak, M. Mardani, D. Hall, A. Miele, K. Kashinath, and A. Anandkumar. CoRR, (2022)FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators.T. Kurth, S. Subramanian, P. Harrington, J. Pathak, M. Mardani, D. Hall, A. Miele, K. Kashinath, and A. Anandkumar. PASC, page 13:1-13:11. ACM, (2023)Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales.P. Manshausen, Y. Cohen, J. Pathak, M. Pritchard, P. Garg, M. Mardani, K. Kashinath, S. Byrne, and N. Brenowitz. CoRR, (2024)Spherical CNNs on Unstructured Grids.C. Jiang, J. Huang, K. Kashinath, Prabhat, P. Marcus, and M. Nießner. ICLR (Poster), OpenReview.net, (2019)Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere.B. Bonev, T. Kurth, C. Hundt, J. Pathak, M. Baust, K. Kashinath, and A. Anandkumar. ICML, volume 202 of Proceedings of Machine Learning Research, page 2806-2823. PMLR, (2023)ACE: A fast, skillful learned global atmospheric model for climate prediction.O. Watt-Meyer, G. Dresdner, J. McGibbon, S. Clark, B. Henn, J. Duncan, N. Brenowitz, K. Kashinath, M. Pritchard, B. Bonev and 2 other author(s). CoRR, (2023)MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework.C. Jiang, S. Esmaeilzadeh, K. Azizzadenesheli, K. Kashinath, M. Mustafa, H. Tchelepi, P. Marcus, Prabhat, and A. Anandkumar. SC, page 9. IEEE/ACM, (2020)Atmospheric Blocking Pattern Recognition in Global Climate Model Simulation Data.G. Muszynski, Prabhat, J. Balewski, K. Kashinath, M. Wehner, and V. Kurlin. ICPR, page 677-684. IEEE, (2020)DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems.A. Rupe, Prabhat, J. Crutchfield, N. Kumar, V. Epifanov, K. Kashinath, O. Pavlyk, F. Schlimbach, M. Patwary, S. Maidanov and 1 other author(s). MLHPC@SC, page 75-87. IEEE, (2019)

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Disambiguation of "Kashinath, Karthik"

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Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems.

Please choose a person to relate this publication to

Kashinath Basu

Karthik Arumugam

Karthik Gururaj

Karthik Narasimhan

Karthik Baddam

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kashinath, Karthik"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems.

Please choose a person to relate this publication to

Kashinath Basu

Karthik Arumugam

Karthik Gururaj

Karthik Narasimhan

Karthik Baddam

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Enforcing statistical constraints in generative adversarial networks for modeling chaotic dynamical systems.