Jeremias Sulam

Cited by

	All	Since 2016
Citations	759	745
h-index	13	13
i10-index	15	15

260

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195

20152016201720182019202020217 26 59 134 182 247 85

Co-authors

Michael EladProfessor of Computer Science, Technion, IsraelVerified email at cs.technion.ac.il
Yaniv RomanoAssistant Professor of Electrical Engineering and Computer Science, Technion, IsraelVerified email at technion.ac.il
Michael ZibulevskyAdjunct Professor of Computer Science, Technion - Israel Institute of TechnologyVerified email at cs.technion.ac.il
Aviad AberdamPhD Student, EE Department, TechnionVerified email at campus.technion.ac.il
Amir BeckProfessor, School of Mathematical Sciences, Tel-Aviv University, IsraelVerified email at tauex.tau.ac.il
Rami Ben-AriVision AI ResearchVerified email at originai.co
Pavel Kisilev, PhDCTO AI, Huawei Tel Aviv Research CenterVerified email at huawei.com
Daniel P. RobinsonAssociate Professor, Lehigh UniversityVerified email at lehigh.edu
Rene VidalMINDS Director & Seder Professor at Johns Hopkins University, Amazon Scholar, NORCE Chief ScientistVerified email at jhu.edu
Guilherme Starvaggi FrançaUniversity of California, BerkeleyVerified email at berkeley.edu
Ronen TalmonAssociate Professor, EE Department, TechnionVerified email at ee.technion.ac.il
Dror SimonComputer Science Department, TechnionVerified email at cs.technion.ac.il
Javier TurekResearch Scientist in Machine Learning at Intel LabsVerified email at intel.com
Gastón SchlotthauerCONICET - Facultad de Ingeniería (Universidad Nacional de Entre Ríos)Verified email at conicet.gov.ar
Maria Eugenia TorresProfesor Advanced signal processing, Univ. de Entre Rios, ArgentinaVerified email at bioingenieria.edu.ar
Zhihui ZhuAssistant Professor, University of DenverVerified email at du.edu

Jeremias Sulam

Assistant Professor, BME, Johns Hopkins University

Verified email at jhu.edu - Homepage

Machine Learning Biomedical Data Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	99	2017
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	94*	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	91	2018
Trainlets: Dictionary Learning in High Dimensions J Sulam, B Ophir, M Zibulevsky, M Elad IEEE Transactions on Signal Processing, 2016	81	2016
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	67	2018
Expected patch log likelihood with a sparse prior J Sulam, M Elad International Workshop on Energy Minimization Methods in Computer Vision and …, 2015	58	2015
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	47	2019
Image Denoising Through Multi-Scale Learnt Dictionaries J Sulam, B Ophir, M Elad IEEE International Conference on Image Processing ICIP, 2014	32	2014
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	27*	2019
Large inpainting of face images with trainlets J Sulam, M Elad IEEE signal processing letters 23 (12), 1839-1843, 2016	27	2016
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	24	2019
Conformal symplectic and relativistic optimization G França, J Sulam, DP Robinson, R Vidal Journal of Statistical Mechanics: Theory and Experiment 2020 (12), 124008, 2020	21	2020
Dynamical system classification with diffusion embedding for ECG-based person identification J Sulam, Y Romano, R Talmon Signal Processing 130, 403-411, 2017	16	2017
Deep learning in protein structural modeling and design W Gao, SP Mahajan, J Sulam, JJ Gray Patterns, 100142, 2020	12	2020
Classifying medical images using deep convolution neural network (CNN) architecture R Ben-Ari, P Kisilev, J Sulam US Patent 10,650,286, 2020	12	2020
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, 1-15, 2019	9	2019
Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets. J Sulam, R Ben-Ari, P Kisilev VCBM, 131-135, 2017	8	2017
Variations on the convolutional sparse coding model I Rey-Otero, J Sulam, M Elad IEEE Transactions on Signal Processing 68, 519-528, 2020	7*	2020
Mmse approximation for sparse coding algorithms using stochastic resonance D Simon, J Sulam, Y Romano, YM Lu, M Elad IEEE Transactions on Signal Processing 67 (17), 4597-4610, 2019	6	2019
Gaussian mixture diffusion J Sulam, Y Romano, M Elad 2016 IEEE International Conference on the Science of Electrical Engineering …, 2016	5	2016

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