Tom Goldstein
Tom Goldstein
Perotto Associate Professor of Computer Science, University of Maryland
Verified email at - Homepage
Cited by
Cited by
The split Bregman method for L1-regularized problems
T Goldstein, S Osher
SIAM journal on imaging sciences 2 (2), 323-343, 2009
Fast alternating direction optimization methods
T Goldstein, B O'Donoghue, S Setzer, R Baraniuk
SIAM Journal on Imaging Sciences 7 (3), 1588-1623, 2014
Geometric applications of the split Bregman method: segmentation and surface reconstruction
T Goldstein, X Bresson, S Osher
Journal of Scientific Computing 45 (1-3), 272-293, 2010
Visualizing the loss landscape of neural nets
H Li, Z Xu, G Taylor, C Studer, T Goldstein
Advances in neural information processing systems, 6389-6399, 2018
Poison frogs! targeted clean-label poisoning attacks on neural networks
A Shafahi, WR Huang, M Najibi, O Suciu, C Studer, T Dumitras, ...
Advances in Neural Information Processing Systems, 6103-6113, 2018
Adversarial training for free!
A Shafahi, M Najibi, MA Ghiasi, Z Xu, J Dickerson, C Studer, LS Davis, ...
Advances in Neural Information Processing Systems, 3358-3369, 2019
Convex phase retrieval without lifting via PhaseMax
T Goldstein, C Studer
International Conference on Machine Learning, 1273-1281, 2017
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
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
A field guide to forward-backward splitting with a FASTA implementation
T Goldstein, C Studer, R Baraniuk
arXiv preprint arXiv:1411.3406, 2014
Are adversarial examples inevitable?
A Shafahi, WR Huang, C Studer, S Feizi, T Goldstein
International Conference on Learning Representations, 2019
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
Training quantized nets: A deeper understanding
H Li, S De, Z Xu, C Studer, H Samet, T Goldstein
Advances in Neural Information Processing Systems, 5811-5821, 2017
Splitting methods in communication, imaging, science, and engineering
R Glowinski, SJ Osher, W Yin
Springer, 2017
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
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
Dcan: Dual channel-wise alignment networks for unsupervised scene adaptation
Z Wu, X Han, YL Lin, M Gokhan Uzunbas, T Goldstein, S Nam Lim, ...
Proceedings of the European Conference on Computer Vision (ECCV), 518-534, 2018
Big batch SGD: Automated inference using adaptive batch sizes
S De, A Yadav, D Jacobs, T Goldstein
arXiv preprint arXiv:1610.05792, 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
Adaptive ADMM with spectral penalty parameter selection
Z Xu, M Figueiredo, T Goldstein
Artificial Intelligence and Statistics, 718-727, 2017
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