| Lipschitz regularized deep neural networks generalize and are adversarially robust C Finlay, J Calder, B Abbasi, A Oberman arXiv preprint arXiv:1808.09540, 2018 | 50 | 2018 |
| Improved robustness to adversarial examples using Lipschitz regularization of the loss C Finlay, AM Oberman, B Abbasi | 23 | 2018 |
| On the initial value problem for the wave equation in Friedmann–Robertson–Walker space–times B Abbasi, W Craig Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2014 | 20 | 2014 |
| Anomaly detection and classification for streaming data using PDEs B Abbasi, J Calder, AM Oberman SIAM Journal on Applied Mathematics 78 (2), 921-941, 2018 | 14 | 2018 |
| Computing the level set convex hull B Abbasi, AM Oberman Journal of Scientific Computing 75, 26-42, 2018 | 5 | 2018 |
| A partial differential equation for the -uniformly quasiconvex envelope B Abbasi, AM Oberman IMA Journal of Numerical Analysis 39 (1), 141-166, 2019 | 3 | 2019 |
| Method and data processing system for lossy image or video encoding, transmission and decoding B Abbasi, S Cizel, C Finlay, C Etmann, A Zafar US Patent App. 18/458,511, 2024 | | 2024 |
| Method and data processing system for lossy image or video encoding, transmission and decoding C Finlay, C Besenbruch, J Xu, B Abbasi, C Etmann, A Zafar, S Cizel, ... US Patent 11,936,866, 2024 | | 2024 |
| On the applications of numerical methods for elliptic partial differential equations B Abbasi McGill University (Canada), 2018 | | 2018 |
