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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
48092009
Visualizing the loss landscape of neural nets
H Li, Z Xu, G Taylor, C Studer, T Goldstein
Advances in neural information processing systems 31, 2018
12292018
Adversarial training for free!
A Shafahi, M Najibi, MA Ghiasi, Z Xu, J Dickerson, C Studer, LS Davis, ...
Advances in Neural Information Processing Systems 32, 2019
7962019
Fast alternating direction optimization methods
T Goldstein, B O'Donoghue, S Setzer, R Baraniuk
SIAM Journal on Imaging Sciences 7 (3), 1588-1623, 2014
7812014
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 31, 2018
6332018
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
5682010
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
2772017
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
262*2019
Convex phase retrieval without lifting via PhaseMax
T Goldstein, C Studer
International Conference on Machine Learning, 1273-1281, 2017
262*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
2522016
Are adversarial examples inevitable?
A Shafahi, WR Huang, C Studer, S Feizi, T Goldstein
International Conference on Learning Representations, 2019
2442019
A field guide to forward-backward splitting with a FASTA implementation
T Goldstein, C Studer, R Baraniuk
arXiv preprint arXiv:1411.3406, 2014
2192014
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
2152018
Splitting methods in communication, imaging, science, and engineering
R Glowinski, SJ Osher, W Yin
Springer, 2017
1912017
Transferable clean-label poisoning attacks on deep neural nets
C Zhu, WR Huang, H Li, G Taylor, C Studer, T Goldstein
International Conference on Machine Learning, 7614-7623, 2019
1802019
Training quantized nets: A deeper understanding
H Li, S De, Z Xu, C Studer, H Samet, T Goldstein
Advances in Neural Information Processing Systems 30, 2017
1802017
Making an invisibility cloak: Real world adversarial attacks on object detectors
Z Wu, SN Lim, LS Davis, T Goldstein
European Conference on Computer Vision, 1-17, 2020
1332020
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
1312013
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
1302015
Universal adversarial training
A Shafahi, M Najibi, Z Xu, J Dickerson, LS Davis, T Goldstein
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5636-5643, 2020
1222020
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