Towards a scalable reference-free evaluation of generative models A Ospanov, J Zhang, M Jalali, X Cao, A Bogdanov, F Farnia arXiv preprint arXiv:2407.02961, 2024 | 4 | 2024 |
Moreaugrad: Sparse and robust interpretation of neural networks via moreau envelope J Zhang, F Farnia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
Moreaupruner: Robust pruning of large language models against weight perturbations Z Wang, J Zhang, W Zhao, F Farnia, B Yu arXiv preprint arXiv:2406.07017, 2024 | 3 | 2024 |
An interpretable evaluation of entropy-based novelty of generative models J Zhang, CT Li, F Farnia arXiv preprint arXiv:2402.17287, 2024 | 3 | 2024 |
On Convergence in Wasserstein Distance and f-divergence Minimization Problems CT Li*, J Zhang*, F Farnia International Conference on Artificial Intelligence and Statistics, 2062-2070, 2024 | 2 | 2024 |
A Super-pixel-based Approach to the Stable Interpretation of Neural Networks S Gong, J Zhang, Q Dou, F Farnia arXiv preprint arXiv:2412.14509, 2024 | | 2024 |
Identification of Novel Modes in Generative Models via Fourier-based Differential Clustering J Zhang, M Jalali, CT Li, F Farnia arXiv preprint arXiv:2405.02700, 2024 | | 2024 |
Sparse Domain Transfer via Elastic Net Regularization J Zhang, F Farnia Proceedings of the Asian Conference on Computer Vision, 454-470, 2024 | | 2024 |