Tom Goldstein

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Christoph StuderAssociate Professor at the Dept. of Information Technology and Electrical Engineering, ETH ZurichVerified email at ethz.ch
Zheng XuGoogle ResearchVerified email at google.com
Gavin TaylorUS Naval AcademyVerified email at usna.edu
S osherVerified email at math.ucla.edu
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Ali ShafahiGraduate Research Assistant, University of MarylandVerified email at umd.edu
W. Ronny HuangGoogle ResearchVerified email at google.com
Oscar CastañedaETH ZurichVerified email at ethz.ch
Giuseppe DurisiChalmers UniversityVerified email at chalmers.se
Soham DeDeepMindVerified email at google.com
David A Bluemke, MD, PhDUniversity of Wisconsin- MadisonVerified email at wisc.edu
Xavier BressonAssoc Prof of Computer Science, National University of SingaporeVerified email at nus.edu.sg
Simon SetzerSaarland UniversityVerified email at mia.uni-saarland.de
Brendan O'DonoghueStanford University, DeepMindVerified email at alumni.stanford.edu
Wotao YinDAMO Academy, Alibaba Group USVerified email at alibaba-inc.com
Christopher SibleyAscendis Pharma N/AVerified email at ascendispharma.com
Kevin F. KellyIEEE Fellow, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityVerified email at stanford.edu
Ioannis KoktzoglouNorthShore University HealthSystemVerified email at northshore.org

Tom Goldstein

Volpi-Cupal Associate Professor of Computer Science, University of Maryland

Verified email at cs.umd.edu - Homepage

Numerical Optimization Machine Learning Distributed Computing Computer Vision


Title Sort by citations Sort by year Sort by 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	4939	2009
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	1476	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 32, 2019	1002	2019
Fast alternating direction optimization methods T Goldstein, B O'Donoghue, S Setzer, R Baraniuk SIAM Journal on Imaging Sciences 7 (3), 1588-1623, 2014	813	2014
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	798	2018
Geometric applications of the split Bregman method: segmentation and surface reconstruction T Goldstein, X Bresson, S Osher Journal of scientific computing 45, 272-293, 2010	579	2010
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	328	2019
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	295	2017
Convex phase retrieval without lifting via PhaseMax T Goldstein, C Studer International Conference on Machine Learning, 1273-1281, 2017	280*	2017
Are adversarial examples inevitable? A Shafahi, WR Huang, C Studer, S Feizi, T Goldstein International Conference on Learning Representations, 2019	277	2019
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	276	2016
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	243	2018
A field guide to forward-backward splitting with a FASTA implementation T Goldstein, C Studer, R Baraniuk arXiv preprint arXiv:1411.3406, 2014	234	2014
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	224	2019
Splitting methods in communication, imaging, science, and engineering R Glowinski, SJ Osher, W Yin Springer, 2017	215	2017
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	195	2017
Making an invisibility cloak: Real world adversarial attacks on object detectors Z Wu, SN Lim, LS Davis, T Goldstein Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	167	2020
Certified data removal from machine learning models C Guo, T Goldstein, A Hannun, L Van Der Maaten arXiv preprint arXiv:1911.03030, 2019	158	2019
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	147	2020
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	141	2015

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