Mustafa Mustafa

According to our database, Mustafa Mustafa authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting.

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

CoRR, 2023

2021

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

Peter Harrington, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, Zarija Lukic

CoRR, 2021

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

Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, Karthik Kashinath

CoRR, 2021

Estimating Galactic Distances From Images Using Self-supervised Representation Learning.

Md. Abul Hayat, Peter Harrington, George Stein, Zarija Lukic, Mustafa Mustafa

CoRR, 2021

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning.

Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Self-Supervised Representation Learning for Astronomical Images.

Md. Abul Hayat, George Stein, Peter Harrington, Zarija Lukic, Mustafa Mustafa

CoRR, 2020

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

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

CoRR, 2020

MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework.

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

Proceedings of the International Conference for High Performance Computing, 2020

Towards Physics-informed Deep Learning for Turbulent Flow Prediction.

Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence.

Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Karthik Kashinath

Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2017

Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer.

Amrita Mathuriya, Thorsten Kurth, Vivek Rane, Mustafa Mustafa, Lei Shao, Debbie Bard, Prabhat, Victor W. Lee

CoRR, 2017

Creating Virtual Universes Using Generative Adversarial Networks.

Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Rami Al-Rfou, Zarija Lukic

CoRR, 2017