| The split Bregman method for L1-regularized problems T Goldstein, S Osher SIAM journal on imaging sciences 2 (2), 323-343, 2009 | 4237 | 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 | 619 | 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 | 537 | 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 | 497 | 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 | 215 | 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 | 205 | 2019 |
| Convex phase retrieval without lifting via PhaseMax T Goldstein, C Studer International Conference on Machine Learning, 1273-1281, 2017 | 186* | 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 | 179 | 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 | 168 | 2017 |
| A field guide to forward-backward splitting with a FASTA implementation T Goldstein, C Studer, R Baraniuk arXiv preprint arXiv:1411.3406, 2014 | 145* | 2014 |
| Are adversarial examples inevitable? A Shafahi, WR Huang, C Studer, S Feizi, T Goldstein International Conference on Learning Representations, 2019 | 120 | 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 | 107 | 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 | 105 | 2017 |
| Splitting methods in communication, imaging, science, and engineering R Glowinski, SJ Osher, W Yin Springer, 2017 | 102 | 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 | 100 | 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 | 97 | 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 | 93 | 2018 |
| Big batch SGD: Automated inference using adaptive batch sizes S De, A Yadav, D Jacobs, T Goldstein arXiv preprint arXiv:1610.05792, 2016 | 84* | 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 | 72 | 2017 |
| Adaptive ADMM with spectral penalty parameter selection Z Xu, M Figueiredo, T Goldstein Artificial Intelligence and Statistics, 718-727, 2017 | 63 | 2017 |
Christoph StuderAssociate Professor at the Dept. of Information Technology and Electrical Engineering, ETH ZurichVerified email at ethz.ch
