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Amir Gholami
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
10112018
Shift: A zero flop, zero parameter alternative to spatial convolutions
B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2652018
Q-bert: Hessian based ultra low precision quantization of bert
S Shen, Z Dong, J Ye, L Ma, Z Yao, A Gholami, MW Mahoney, K Keutzer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8815-8821, 2020
2452020
Hawq: Hessian aware quantization of neural networks with mixed-precision
Z Dong, Z Yao, A Gholami, MW Mahoney, K Keutzer
Proceedings of the IEEE/CVF International Conference on Computer Vision, 293-302, 2019
2202019
Squeezenext: Hardware-aware neural network design
A Gholami, K Kwon, B Wu, Z Tai, X Yue, P Jin, S Zhao, K Keutzer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1952018
Zeroq: A novel zero shot quantization framework
Y Cai, Z Yao, Z Dong, A Gholami, MW Mahoney, K Keutzer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1672020
A Survey of Quantization Methods for Efficient Neural Network Inference
A Gholami, S Kim, Z Dong, Z Yao, MW Mahoney, K Keutzer
arXiv preprint arXiv:2103.13630, 2021
1462021
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
A Gholami, K Keutzer, G Biros
arXiv preprint arXiv:1902.10298, 2019
1172019
Hessian-based analysis of large batch training and robustness to adversaries
Z Yao, A Gholami, Q Lei, K Keutzer, MW Mahoney
Advances in Neural Information Processing Systems 31, 4949-4959, 2018
1122018
Pyhessian: Neural networks through the lens of the hessian
Z Yao, A Gholami, K Keutzer, MW Mahoney
2020 IEEE International Conference on Big Data (Big Data), 581-590, 2020
962020
Hawq-v2: Hessian aware trace-weighted quantization of neural networks
Z Dong, Z Yao, D Arfeen, A Gholami, MW Mahoney, K Keutzer
Advances in neural information processing systems 33, 18518-18529, 2020
952020
FFT, FMM, or Multigrid? A comparative Study of State-Of-the-Art Poisson Solvers for Uniform and Nonuniform Grids in the Unit Cube
A Gholami, D Malhotra, H Sundar, G Biros
SIAM Journal on Scientific Computing 38 (3), C280-C306, 2016
922016
Integrated model, batch, and domain parallelism in training neural networks
A Gholami, A Azad, P Jin, K Keutzer, A Buluc
Proceedings of the 30th on Symposium on Parallelism in Algorithms and …, 2018
87*2018
Adahessian: An adaptive second order optimizer for machine learning
Z Yao, A Gholami, S Shen, M Mustafa, K Keutzer, M Mahoney
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10665 …, 2021
772021
Checkmate: Breaking the memory wall with optimal tensor rematerialization
P Jain, A Jain, A Nrusimha, A Gholami, P Abbeel, J Gonzalez, K Keutzer, ...
Proceedings of Machine Learning and Systems 2, 497-511, 2020
712020
An inverse problem formulation for parameter estimation of a reaction–diffusion model of low grade gliomas
A Gholami, A Mang, G Biros
Journal of mathematical biology 72 (1), 409-433, 2016
652016
On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent
N Golmant, N Vemuri, Z Yao, V Feinberg, A Gholami, K Rothauge, ...
arXiv preprint arXiv:1811.12941, 2018
632018
ANODEV2: A Coupled Neural ODE Framework
T Zhang, Z Yao, A Gholami, JE Gonzalez, K Keutzer, MW Mahoney, ...
Advances in Neural Information Processing Systems, 5152-5162, 2019
562019
Characterizing possible failure modes in physics-informed neural networks
A Krishnapriyan, A Gholami, S Zhe, R Kirby, MW Mahoney
Advances in Neural Information Processing Systems 34, 26548-26560, 2021
552021
I-bert: Integer-only bert quantization
S Kim, A Gholami, Z Yao, MW Mahoney, K Keutzer
International conference on machine learning, 5506-5518, 2021
502021
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