Convolutional dictionary learning via local processing V Papyan, Y Romano, J Sulam, M Elad Proceedings of the IEEE International Conference on Computer Vision, 5296-5304, 2017 | 148 | 2017 |
Deep learning in protein structural modeling and design W Gao, SP Mahajan, J Sulam, JJ Gray Patterns 1 (9), 2020 | 140 | 2020 |
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning J Sulam, V Papyan, Y Romano, M Elad IEEE Transactions on Signal Processing 66 (15), 4090-4104, 2018 | 139 | 2018 |
Working locally thinking globally: Theoretical guarantees for convolutional sparse coding V Papyan, J Sulam, M Elad IEEE Transactions on Signal Processing 65 (21), 5687-5701, 2017 | 126* | 2017 |
Theoretical foundations of deep learning via sparse representations: A multilayer sparse model and its connection to convolutional neural networks V Papyan, Y Romano, J Sulam, M Elad IEEE Signal Processing Magazine 35 (4), 72-89, 2018 | 123 | 2018 |
Trainlets: Dictionary Learning in High Dimensions J Sulam, B Ophir, M Zibulevsky, M Elad IEEE Transactions on Signal Processing, 2016 | 102 | 2016 |
On Multi-Layer Basis Pursuit, Efficient Algorithms and Convolutional Neural Networks J Sulam, A Aberdam, A Beck, M Elad IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 93 | 2019 |
Antibody structure prediction using interpretable deep learning JA Ruffolo, J Sulam, JJ Gray Patterns 3 (2), 2022 | 91 | 2022 |
A geometric analysis of neural collapse with unconstrained features Z Zhu, T Ding, J Zhou, X Li, C You, J Sulam, Q Qu Advances in Neural Information Processing Systems 34, 29820-29834, 2021 | 74 | 2021 |
Expected patch log likelihood with a sparse prior J Sulam, M Elad Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015 | 62 | 2015 |
A local block coordinate descent algorithm for the CSC model E Zisselman, J Sulam, M Elad Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 52 | 2019 |
Conformal symplectic and relativistic optimization G França, J Sulam, D Robinson, R Vidal Advances in Neural Information Processing Systems 33, 16916-16926, 2020 | 45 | 2020 |
Geometric potentials from deep learning improve prediction of CDR H3 loop structures JA Ruffolo, C Guerra, SP Mahajan, J Sulam, JJ Gray Bioinformatics 36 (Supplement_1), i268-i275, 2020 | 44 | 2020 |
Digital pathology analysis quantifies spatial heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 immune markers in triple-negative breast cancer H Mi, C Gong, J Sulam, EJ Fertig, AS Szalay, EM Jaffee, V Stearns, ... Frontiers in physiology 11, 583333, 2020 | 40 | 2020 |
Image Denoising Through Multi-Scale Learnt Dictionaries J Sulam, B Ophir, M Elad IEEE International Conference on Image Processing ICIP, 2014 | 40 | 2014 |
Deciphering antibody affinity maturation with language models and weakly supervised learning JA Ruffolo, JJ Gray, J Sulam Machine Learning for Structural Biology Workshop, NeurIPS 2021., 2021 | 37 | 2021 |
Multi-layer sparse coding: The holistic way A Aberdam, J Sulam, M Elad SIAM Journal on Mathematics of Data Science 1 (1), 46-77, 2019 | 35 | 2019 |
Large inpainting of face images with trainlets J Sulam, M Elad IEEE signal processing letters 23 (12), 1839-1843, 2016 | 31 | 2016 |
Adversarial noise attacks of deep learning architectures: Stability analysis via sparse-modeled signals Y Romano, A Aberdam, J Sulam, M Elad Journal of Mathematical Imaging and Vision 62, 313-327, 2020 | 25 | 2020 |
Classifying medical images using deep convolution neural network (CNN) architecture R Ben-Ari, P Kisilev, J Sulam US Patent 10,650,286, 2020 | 20 | 2020 |