Improving Pursuit Algorithms Using Stochastic Resonance. - Dror Simon; Jeremias Sulam; Yaniv Romano; Yue M. Lu; Michael Elad (CoRR, 2018)

Rethinking the CSC Model for Natural Images. - Dror Simon; Michael Elad (NeurIPS, 2019)

MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance. - Dror Simon; Jeremias Sulam; Yaniv Romano; Yue M. Lu; Michael Elad (IEEE Trans. Signal Process., 2019)

Barycenters of Natural Images - Constrained Wasserstein Barycenters for Image Morphing. - Dror Simon; Aviad Aberdam (CVPR, 2020)

Auto-Annotation Quality Prediction for Semi-Supervised Learning with Ensembles. - Dror Simon; Miriam Farber; Roman Goldenberg (CVPR Workshops, 2020)

When and How Can Deep Generative Models be Inverted? - Aviad Aberdam; Dror Simon; Michael Elad (CoRR, 2020)

Learned Greedy Method (LGM): A novel neural architecture for sparse coding and beyond. - Rajaei Khatib; Dror Simon; Michael Elad (J. Vis. Commun. Image Represent., 2021)

Generative Models: Affecting Current Practice with Traditional Methods. - Dror Simon (2021)