D. Simon, and A. Aberdam, "Barycenters of Natural Images - Constrained Wasserstein Barycenters for Image Morphing." In Conference on Computer Vision and Pattern Recognition (CVPR) 2020. [Youtube]
D. Simon, M. Farber, and R. Goldenberg, "Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles," CVPR 2020 workshop - Visual Learning with Limited Labels Workshop.
D. Simon, and M. Elad, 2019. "Rethinking the CSC Model for Natural Images." In Advances in Neural Information Processing Systems (NeurIPS) 2019 (pp. 2271-2281) [Poster]
R. Khatib, D. Simon, and M. Elad, "Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond" Journal of Visual Communication and Image Representation, March 26, 2021.
M. Elad, D. Simon, A. Aviad, "Another Step toward Demystifying Deep Neural Networks," in Proceedings of the National Academy of Sciences (PNAS), October 15, 2020.
D. Simon, J. Sulam, Y. Romano, Y. M. Lu and M. Elad, "MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance," in IEEE Transactions on Signal Processing, vol. 67, no. 17, pp. 4597-4610, 1 Sept.1, 2019.
A. Aberdam*, D. Simon*, and M. Elad, "When and How Can Deep Generative Models be Inverted?" arXiv preprint arXiv:2006.15555 (2020).
* With equal contribution