Mustafa Mustafa

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Machine Learning

Computational Fluid Dynamics

Intracranial Aneurysms

Top Venues

Publications

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
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. CoRR (2023)
Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, Karthik Kashinath
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers. CoRR (2021)
Md Abul Hayat, Peter Harrington, George Stein, Zarija Lukic, Mustafa Mustafa
Estimating Galactic Distances From Images Using Self-supervised Representation Learning. CoRR (2021)
Peter Harrington, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, Zarija Lukic
Fast, high-fidelity Lyman α forests with convolutional neural networks. CoRR (2021)
Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. AAAI (2021)
Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Karthik Kashinath
Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence. CI (2020)
Md Abul Hayat, George Stein, Peter Harrington, Zarija Lukic, Mustafa Mustafa
Self-Supervised Representation Learning for Astronomical Images. CoRR (2020)
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
Towards Physics-informed Deep Learning for Turbulent Flow Prediction. KDD (2020)
Jaideep Pathak, Mustafa Mustafa, Karthik Kashinath, Emmanuel Motheau, Thorsten Kurth, Marcus Day
Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations. CoRR (2020)
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework. CoRR (2020)
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar
MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework. SC (2020)
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
Towards Physics-informed Deep Learning for Turbulent Flow Prediction. CoRR (2019)
Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Rami Al-Rfou, Zarija Lukic
Creating Virtual Universes Using Generative Adversarial Networks. CoRR (2017)
Amrita Mathuriya, Thorsten Kurth, Vivek Rane, Mustafa Mustafa, Lei Shao, Debbie Bard, Prabhat, Victor W. Lee
Scaling GRPC Tensorflow on 512 nodes of Cori Supercomputer. CoRR (2017)