Tom Goldstein
Tom Goldstein
Perotto Associate Professor of Computer Science, University of Maryland
Verified email at cs.umd.edu - Homepage
Title
Cited by
Cited by
Year
The split Bregman method for L1-regularized problems
T Goldstein, S Osher
SIAM journal on imaging sciences 2 (2), 323-343, 2009
44622009
Visualizing the loss landscape of neural nets
H Li, Z Xu, G Taylor, C Studer, T Goldstein
arXiv preprint arXiv:1712.09913, 2017
7222017
Fast alternating direction optimization methods
T Goldstein, B O'Donoghue, S Setzer, R Baraniuk
SIAM Journal on Imaging Sciences 7 (3), 1588-1623, 2014
6992014
Geometric applications of the split Bregman method: segmentation and surface reconstruction
T Goldstein, X Bresson, S Osher
Journal of scientific computing 45 (1), 272-293, 2010
5512010
Adversarial training for free!
A Shafahi, M Najibi, A Ghiasi, Z Xu, J Dickerson, C Studer, LS Davis, ...
arXiv preprint arXiv:1904.12843, 2019
4032019
Poison frogs! targeted clean-label poisoning attacks on neural networks
A Shafahi, WR Huang, M Najibi, O Suciu, C Studer, T Dumitras, ...
arXiv preprint arXiv:1804.00792, 2018
3532018
Convex phase retrieval without lifting via PhaseMax
T Goldstein, C Studer
International Conference on Machine Learning, 1273-1281, 2017
220*2017
Quantized precoding for massive MU-MIMO
S Jacobsson, G Durisi, M Coldrey, T Goldstein, C Studer
IEEE Transactions on Communications 65 (11), 4670-4684, 2017
2172017
Training neural networks without gradients: A scalable admm approach
G Taylor, R Burmeister, Z Xu, B Singh, A Patel, T Goldstein
International conference on machine learning, 2722-2731, 2016
2052016
A field guide to forward-backward splitting with a FASTA implementation
T Goldstein, C Studer, R Baraniuk
arXiv preprint arXiv:1411.3406, 2014
1702014
Are adversarial examples inevitable?
A Shafahi, WR Huang, C Studer, S Feizi, T Goldstein
International Conference on Learning Representations, 2019
1682019
Freelb: Enhanced adversarial training for natural language understanding
C Zhu, Y Cheng, Z Gan, S Sun, T Goldstein, J Liu
arXiv preprint arXiv:1909.11764, 2019
139*2019
Dcan: Dual channel-wise alignment networks for unsupervised scene adaptation
Z Wu, X Han, YL Lin, MG Uzunbas, T Goldstein, SN Lim, LS Davis
Proceedings of the European Conference on Computer Vision (ECCV), 518-534, 2018
1372018
Training quantized nets: A deeper understanding
H Li, S De, Z Xu, C Studer, H Samet, T Goldstein
Proceedings of the 31st International Conference on Neural Information …, 2017
1372017
Splitting methods in communication, imaging, science, and engineering
R Glowinski, SJ Osher, W Yin
Springer, 2017
1372017
Adaptive primal-dual hybrid gradient methods for saddle-point problems
T Goldstein, M Li, X Yuan, E Esser, R Baraniuk
arXiv preprint arXiv:1305.0546, 2013
1182013
Pulmonary microvascular blood flow in mild chronic obstructive pulmonary disease and emphysema. The MESA COPD Study
K Hueper, J Vogel-Claussen, MA Parikh, JHM Austin, DA Bluemke, J Carr, ...
American journal of respiratory and critical care medicine 192 (5), 570-580, 2015
1142015
Right and left ventricular myocardial perfusion reserves correlate with right ventricular function and pulmonary hemodynamics in patients with pulmonary arterial hypertension
J Vogel-Claussen, J Skrok, ML Shehata, S Singh, CT Sibley, DM Boyce, ...
Radiology 258 (1), 119-127, 2011
1102011
Big batch SGD: Automated inference using adaptive batch sizes
S De, A Yadav, D Jacobs, T Goldstein
arXiv preprint arXiv:1610.05792, 2016
102*2016
Compressive video sensing: algorithms, architectures, and applications
RG Baraniuk, T Goldstein, AC Sankaranarayanan, C Studer, ...
IEEE Signal Processing Magazine 34 (1), 52-66, 2017
842017
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