| Visualizing deep networks by optimizing with integrated gradients Z Qi, S Khorram, F Li 2020 34th AAAI Conference on Artificial Intelligence, 2019 | 155 | 2019 |
| Embedding deep networks into visual explanations Z Qi, S Khorram, F Li Artificial Intelligence (2020): 103435., 2020 | 40 | 2020 |
| Cycle-consistent counterfactuals by latent transformations S Khorram, L Fuxin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| Re-understanding finite-state representations of recurrent policy networks MH Danesh, A Koul, A Fern, S Khorram International conference on machine learning, 2388-2397, 2021 | 25 | 2021 |
| iGOS++ integrated gradient optimized saliency by bilateral perturbations S Khorram, T Lawson, L Fuxin Proceedings of the Conference on Health, Inference, and Learning, 174-182, 2021 | 20 | 2021 |
| Comparing the decision-making mechanisms by transformers and cnns via explanation methods M Jiang, S Khorram, L Fuxin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| From heatmaps to structured explanations of image classifiers L Fuxin, Z Qi, S Khorram, V Shitole, P Tadepalli, M Kahng, A Fern Applied AI Letters 2 (4), e46, 2021 | 7 | 2021 |
| Combined mRMR filter and sparse Bayesian classifier for analysis of gene expression data M Soltani, MH Shammakhi, S Khorram, H Sheikhzadeh 2016 2nd International Conference of Signal Processing and Intelligent …, 2016 | 5 | 2016 |
| Stochastic block-admm for training deep networks S Khorram, X Fu, MH Danesh, Z Qi, L Fuxin arXiv preprint arXiv:2105.00339, 2021 | 3 | 2021 |
| Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions S Khorram, M Jiang, M Shahbazi, MH Danesh, L Fuxin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Diverse explanations for object detectors with nesterov-accelerated igos++ M Jiang, S Khorram, L Fuxin British Machine Vision Conference, 2023 | 1 | 2023 |
| Examining the Difference Among Transformers and CNNs with Explanation Methods M Jiang, S Khorram, L Fuxin | 1 | 2022 |
| Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis S Khorram | | 2023 |
| Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization S Khorram | | 2020 |
| Sleep Stage Scoring Using Joint Frequency-Temporal and Unsupervised Features M Jafaryani, S Khorram, V Pourahmadi, M Shahbazi International Conference on New Research Achievements in Electrical and …, 2016 | | 2016 |
Fuxin LiOregon State UniversityVerified email at oregonstate.edu