Tom Goldstein

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Micah GoldblumColumbia UniversityVerified email at columbia.edu
Christoph StuderAssociate Professor at the Dept. of Information Technology and Electrical Engineering, ETH ZurichVerified email at ethz.ch
Jonas GeipingELLIS Institute Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Zheng XuGoogle ResearchVerified email at google.com
Gavin TaylorUS Naval AcademyVerified email at usna.edu
Chen ZhuMetaVerified email at meta.com
John P. DickersonAssociate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AIVerified email at cs.umd.edu
S osherVerified email at math.ucla.edu
Avi SchwarzschildPost Doc at Carnegie Mellon UniversityVerified email at cmu.edu
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
Ali ShafahiAppleVerified email at umd.edu
Furong HuangAssociate Professor of Computer Science, University of MarylandVerified email at umd.edu
W. Ronny HuangGoogle ResearchVerified email at google.com
Ping-yeh ChiangUniversity of Maryland - College ParkVerified email at cs.umd.edu
Yuxin WenUniversity of MarylandVerified email at umd.edu
Amin GhiasiApple Verified email at umd.edu
John KirchenbauerUniversity of Maryland, College ParkVerified email at umd.edu
Manli ShuUniversity of MarylandVerified email at umd.edu
Gowthami SomepalliUniversity of Maryland, College ParkVerified email at umd.edu
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu

Tom Goldstein

Volpi-Cupal 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	5246	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	2107	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	1487	2019
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	1214	2018
Fast alternating direction optimization methods T Goldstein, B O'Donoghue, S Setzer, R Baraniuk SIAM Journal on Imaging Sciences 7 (3), 1588-1623, 2014	932	2014
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	594	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	512	2019
A watermark for large language models J Kirchenbauer, J Geiping, Y Wen, J Katz, I Miers, T Goldstein International Conference on Machine Learning, 17061-17084, 2023	467	2023
Certified data removal from machine learning models C Guo, T Goldstein, A Hannun, L Van Der Maaten arXiv preprint arXiv:1911.03030, 2019	378	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	358	2017
Are adversarial examples inevitable? A Shafahi, WR Huang, C Studer, S Feizi, T Goldstein International Conference on Learning Representations, 2019	354	2019
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	339	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	314	2016
Convex phase retrieval without lifting via PhaseMax T Goldstein, C Studer International Conference on Machine Learning, 1273-1281, 2017	312*	2017
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	309	2018
A field guide to forward-backward splitting with a FASTA implementation T Goldstein, C Studer, R Baraniuk arXiv preprint arXiv:1411.3406, 2014	283	2014
Splitting methods in communication, imaging, science, and engineering R Glowinski, SJ Osher, W Yin Springer, 2017	281	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	279	2020
The intrinsic dimension of images and its impact on learning P Pope, C Zhu, A Abdelkader, M Goldblum, T Goldstein arXiv preprint arXiv:2104.08894, 2021	242	2021
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	239	2017

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