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2020 – today
- 2021
[c4]Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney:
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. AAAI 2021: 10665-10673- [i9]Md. Abul Hayat, Peter Harrington, George Stein, Zarija Lukic, Mustafa Mustafa:
Estimating Galactic Distances From Images Using Self-supervised Representation Learning. CoRR abs/2101.04293 (2021) - [i8]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 abs/2103.09360 (2021) - [i7]Peter Harrington, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, Zarija Lukic:
Fast, high-fidelity Lyman α forests with convolutional neural networks. CoRR abs/2106.12662 (2021) - 2020
- [c3]Ashesh Chattopadhyay
, Mustafa Mustafa, Pedram Hassanzadeh, Karthik Kashinath:
Deep spatial transformers for autoregressive data-driven forecasting of geophysical turbulence. CI 2020: 106-112 - [c2]Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu:
Towards Physics-informed Deep Learning for Turbulent Flow Prediction. KDD 2020: 1457-1466 - [c1]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: 9 - [i6]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 abs/2005.01463 (2020) - [i5]Jaideep Pathak, Mustafa Mustafa, Karthik Kashinath, Emmanuel Motheau, Thorsten Kurth, Marcus Day:
Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations. CoRR abs/2010.00072 (2020) - [i4]Md. Abul Hayat, George Stein, Peter Harrington, Zarija Lukic, Mustafa Mustafa:
Self-Supervised Representation Learning for Astronomical Images. CoRR abs/2012.13083 (2020)
2010 – 2019
- 2019
- [i3]Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu:
Towards Physics-informed Deep Learning for Turbulent Flow Prediction. CoRR abs/1911.08655 (2019) - 2017
- [i2]Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Rami Al-Rfou, Zarija Lukic:
Creating Virtual Universes Using Generative Adversarial Networks. CoRR abs/1706.02390 (2017) - [i1]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 abs/1712.09388 (2017)
Coauthor Index
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