| Optimal bidirectional rapidly-exploring random trees M Jordan, A Perez | 145 | 2013 |
| Exactly computing the local lipschitz constant of relu networks M Jordan, AG Dimakis Advances in Neural Information Processing Systems 33, 7344-7353, 2020 | 101 | 2020 |
| Provable certificates for adversarial examples: Fitting a ball in the union of polytopes M Jordan, J Lewis, AG Dimakis Advances in neural information processing systems 32, 2019 | 59 | 2019 |
| Quantifying perceptual distortion of adversarial examples M Jordan, N Manoj, S Goel, AG Dimakis arXiv preprint arXiv:1902.08265, 2019 | 30 | 2019 |
| Provable Lipschitz certification for generative models M Jordan, A Dimakis International Conference on Machine Learning, 5118-5126, 2021 | 16 | 2021 |
| Inverse problems leveraging pre-trained contrastive representations S Ravula, G Smyrnis, M Jordan, AG Dimakis Advances in Neural Information Processing Systems 34, 8753-8765, 2021 | 9 | 2021 |
| Quarantines as a Targeted Immunization Strategy J Hoffmann, M Jordan, C Caramanis arXiv preprint arXiv:2008.08262, 2020 | 3 | 2020 |
| Zonotope domains for lagrangian neural network verification M Jordan, J Hayase, A Dimakis, S Oh Advances in Neural Information Processing Systems 35, 8400-8413, 2022 | 2 | 2022 |
| Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand MM Rahman, M Jordan, M Kocaoglu arXiv preprint arXiv:2402.07419, 2024 | | 2024 |
| Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand M Musfiqur Rahman, M Jordan, M Kocaoglu arXiv e-prints, arXiv: 2402.07419, 2024 | | 2024 |
| Lovasz Theta Contrastive Learning G Smyrnis, M Jordan, A Uppal, G Daras, A Dimakis | | 2022 |
