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Mustafa Mustafa

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WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting

Apr 07, 2023
Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Mustafa, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov

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Fast, high-fidelity Lyman $α$ forests with convolutional neural networks

Jun 23, 2021
Peter Harrington, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, Zarija Lukić

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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

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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

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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

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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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