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Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers


Mar 16, 2021
Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, Karthik Kashinath

* Under review in Geoscientific Model Development 

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Estimating Galactic Distances From Images Using Self-supervised Representation Learning


Jan 12, 2021
Md Abul Hayat, Peter Harrington, George Stein, Zarija Lukić, Mustafa Mustafa


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Self-Supervised Representation Learning for Astronomical Images


Dec 24, 2020
Md Abul Hayat, George Stein, Peter Harrington, Zarija Lukić, Mustafa Mustafa


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Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations


Oct 03, 2020
Jaideep Pathak, Mustafa Mustafa, Karthik Kashinath, Emmanuel Motheau, Thorsten Kurth, Marcus Day

* Corrected typographical errors in the previous version related to the incorrectly formatted accented character "\'e" appearing in various places in the manuscript 

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MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework


May 01, 2020
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar

* Supplementary Video: https://youtu.be/mjqwPch9gDo 

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Towards Physics-informed Deep Learning for Turbulent Flow Prediction


Dec 21, 2019
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu


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Creating Virtual Universes Using Generative Adversarial Networks


Aug 17, 2018
Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Zarija Lukić, Rami Al-Rfou, Jan Kratochvil

* 9 pages, 8 figures 

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