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
2002018
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
912018
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
622018
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
62*2016
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, 4949-4959, 2018
382018
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 (1-2), 409-433, 2016
342016
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
322018
Distributed-memory large deformation diffeomorphic 3D image registration
A Mang, A Gholami, G Biros
SC'16: Proceedings of the International Conference for High Performance …, 2016
242016
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
arXiv preprint arXiv:1909.05840, 2019
202019
Hawq: Hessian aware quantization of neural networks with mixed-precision
Z Dong, Z Yao, A Gholami, MW Mahoney, K Keutzer
Proceedings of the IEEE International Conference on Computer Vision, 293-302, 2019
202019
AccFFT: A library for distributed-memory FFT on CPU and GPU architectures
A Gholami, J Hill, D Malhotra, G Biros
http://arxiv.org/abs/1506.07933, 2015
192015
A volume integral equation stokes solver for problems with variable coefficients
D Malhotra, A Gholami, G Biros
SC'14: Proceedings of the International Conference for High Performance …, 2014
182014
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
172018
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
A Gholami, K Keutzer, G Biros
arXiv preprint arXiv:1902.10298, 2019
162019
Large batch size training of neural networks with adversarial training and second-order information
Z Yao, A Gholami, K Keutzer, M Mahoney
arXiv preprint arXiv:1810.01021, 2018
152018
A Novel Domain Adaptation Framework for Medical Image Segmentation
A Gholami, S Subramanian, V Shenoy, N Himthani, X Yue, S Zhao, P Jin, ...
International MICCAI Brainlesion Workshop, 289-298, 2018
112018
A framework for scalable biophysics-based image analysis
A Gholami, A Mang, K Scheufele, C Davatzikos, M Mehl, G Biros
Proceedings of the International Conference for High Performance Computing …, 2017
112017
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
9*2019
PDE-constrained optimization in medical image analysis
A Mang, A Gholami, C Davatzikos, G Biros
Optimization and Engineering 19 (3), 765-812, 2018
92018
Co-design of deep neural nets and neural net accelerators for embedded vision applications
K Kwon, A Amid, A Gholami, B Wu, K Asanovic, K Keutzer
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018
92018
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Artiklar 1–20