Jeremias Sulam
Jeremias Sulam
Assistant Professor, BME, Johns Hopkins University
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Deep learning in protein structural modeling and design
W Gao, SP Mahajan, J Sulam, JJ Gray
Patterns 1 (9), 2020
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
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
Antibody structure prediction using interpretable deep learning
JA Ruffolo, J Sulam, JJ Gray
Patterns 3 (2), 2022
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
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
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
Trainlets: Dictionary Learning in High Dimensions
J Sulam, B Ophir, M Zibulevsky, M Elad
IEEE Transactions on Signal Processing, 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
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
Expected patch log likelihood with a sparse prior
J Sulam, M Elad
Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015
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
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
Conformal symplectic and relativistic optimization
G França, J Sulam, D Robinson, R Vidal
Advances in Neural Information Processing Systems 33, 16916-16926, 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
Image Denoising Through Multi-Scale Learnt Dictionaries
J Sulam, B Ophir, M Elad
IEEE International Conference on Image Processing ICIP, 2014
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
Learned Proximal Networks for Quantitative Susceptibility Mapping
KW Lai, M Aggarwal, P van Zijl, X Li, J Sulam
MICCAI: International Conference on Medical Image Computing and Computer …, 2020
Large inpainting of face images with trainlets
J Sulam, M Elad
IEEE signal processing letters 23 (12), 1839-1843, 2016
Classifying medical images using deep convolution neural network (CNN) architecture
R Ben-Ari, P Kisilev, J Sulam
US Patent 10,650,286, 2020
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