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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. (2023)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Trilochan Pathak

Nemaí Chand Pathak

Jaideep Gerard Rao

Krishna Mani Pathak

Bhim Sen Pathak

Other publications of authors with the same name

Forecasting of Spatio-temporal Chaotic Dynamics with Recurrent Neural Networks: a comparative study of Reservoir Computing and Backpropagation Algorithms.P. Vlachas, J. Pathak, B. Hunt, T. Sapsis, M. Girvan, E. Ott, and P. Koumoutsakos. CoRR, (2019)Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations.J. Pathak, M. Mustafa, K. Kashinath, E. Motheau, T. Kurth, and M. Day. CoRR, (2020)A Practical Probabilistic Benchmark for AI Weather Models.N. Brenowitz, Y. Cohen, J. Pathak, A. Mahesh, B. Bonev, T. Kurth, D. Durran, P. Harrington, and M. Pritchard. CoRR, (2024)Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence.A. Chattopadhyay, J. Pathak, E. Nabizadeh, W. Bhimji, and P. Hassanzadeh. CoRR, (2022)Generative Residual Diffusion Modeling for Km-scale Atmospheric Downscaling.M. Mardani, N. Brenowitz, Y. Cohen, J. Pathak, C. Chen, C. Liu, A. Vahdat, K. Kashinath, J. Kautz, and M. Pritchard. CoRR, (2023)Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.P. Vlachas, J. Pathak, B. Hunt, T. Sapsis, M. Girvan, E. Ott, and P. Koumoutsakos. Neural Networks, (2020)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)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)Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components.A. Wikner, J. Pathak, B. Hunt, I. Szunyogh, M. Girvan, and E. Ott. CoRR, (2021)FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.J. Pathak, S. Subramanian, P. Harrington, S. Raja, A. Chattopadhyay, M. Mardani, T. Kurth, D. Hall, Z. Li, K. Azizzadenesheli and 3 other author(s). CoRR, (2022)

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Disambiguation of "Pathak, Jaideep"

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Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Please choose a person to relate this publication to

Trilochan Pathak

Nemaí Chand Pathak

Jaideep Gerard Rao

Krishna Mani Pathak

Bhim Sen Pathak

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pathak, Jaideep"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Please choose a person to relate this publication to

Trilochan Pathak

Nemaí Chand Pathak

Jaideep Gerard Rao

Krishna Mani Pathak

Bhim Sen Pathak

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
MSOffice XML

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere