Jeremias Sulam - Concepedia

Author

Jeremias Sulam

Johns Hopkins University ORCID

Also Known As

J Sulam, J. Webster Stayman, Jeremias Sulam, Michael Elad, Shin, Jong M., Sulam, Jeremias

119

Publications

1.9K

Citations

H-Index

Concepts

All Affiliations

Johns Hopkins University Technion – Israel Institute of Technology Johns Hopkins Medicine University of Maryland, Baltimore Stanford University

About

Jeremias Sulam is an author at Johns Hopkins University specializing in engineering, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	15	673
2	Medicine	3	3	173
3	Social Sciences	2	2	81
4	Health Sciences	1	1	17
5	Biomolecular Engineering	1	1	22

Jeremias Sulam

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
Antibody structure prediction using interpretable deep learning Jeffrey A. Ruffolo, Jeremias Sulam, Jeffrey J. Gray Patterns	2021	201
Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks Vardan Papyan, Yaniv Romano, Jeremias Sulam, IEEE Signal Processing Magazine Data RepresentationEngineeringMachine LearningSparse Representation TheoryAtomic Decomposition	2018	126
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding Vardan Papyan, Jeremias Sulam, Michael Elad IEEE Transactions on Signal Processing	2017	124
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning Jeremias Sulam, Vardan Papyan, Yaniv Romano, IEEE Transactions on Signal Processing Convolutional Neural NetworkEngineeringMachine LearningAtomic DecompositionSpeech Recognition	2018	123
Trainlets: Dictionary Learning in High Dimensions Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, IEEE Transactions on Signal Processing	2016	95
Deciphering antibody affinity maturation with language models and weakly supervised learning Jeffrey A. Ruffolo, Jeffrey J. Gray, Jeremias Sulam arXiv (Cornell University) EngineeringMachine LearningAdaptive Immune SystemArtificial Immune SystemImmunology	2021	89
Geometric potentials from deep learning improve prediction of CDR H3 loop structures Jeffrey A. Ruffolo, Carlos Guerra, Sai Pooja Mahajan, Bioinformatics	2020	78
Digital Pathology Analysis Quantifies Spatial Heterogeneity of CD3, CD4, CD8, CD20, and FoxP3 Immune Markers in Triple-Negative Breast Cancer Haoyang Mi, Chang Gong, Jeremias Sulam, Frontiers in Physiology Breast OncologyEngineeringDigital PathologyImmunologyPathology	2020	62
A Local Block Coordinate Descent Algorithm for the CSC Model Ev Zisselman, Jeremias Sulam, Michael Elad Numerical AnalysisMathematical ProgrammingLarge-scale Global OptimizationConvolutional Neural NetworkEngineering	2019	50
A Geometric Analysis of Neural Collapse with Unconstrained Features Zhihui Zhu, Tianyu Ding, Jinxin Zhou, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningNeural NetworkAutoencoders	2021	43

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