متابعة
Jeremias Sulam
Jeremias Sulam
Assistant Professor, BME, Johns Hopkins University
بريد إلكتروني تم التحقق منه على jhu.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Deep learning in protein structural modeling and design‏
W Gao, SP Mahajan, J Sulam, JJ Gray‏
Patterns 1 (9), 2020‏
2202020
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
2192021
Antibody structure prediction using interpretable deep learning‏
JA Ruffolo, J Sulam, JJ Gray‏
Patterns 3 (2), 2022‏
1842022
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
1702017
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
156*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
1512018
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
1472018
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
1382021
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
1192019
Trainlets: Dictionary Learning in High Dimensions‏
J Sulam, B Ophir, M Zibulevsky, M Elad‏
IEEE Transactions on Signal Processing, 2016‏
1082016
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
722020
Expected patch log likelihood with a sparse prior‏
J Sulam, M Elad‏
Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th …, 2015‏
702015
Conformal symplectic and relativistic optimization‏
G França, J Sulam, D Robinson, R Vidal‏
Advances in Neural Information Processing Systems 33, 16916-16926, 2020‏
692020
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
642020
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
632019
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
442019
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
432020
Image Denoising Through Multi-Scale Learnt Dictionaries‏
J Sulam, B Ophir, M Elad‏
IEEE International Conference on Image Processing ICIP, 2014‏
432014
How to trust your diffusion model: A convex optimization approach to conformal risk control‏
J Teneggi, M Tivnan, W Stayman, J Sulam‏
International Conference on Machine Learning, 33940-33960, 2023‏
352023
Large inpainting of face images with trainlets‏
J Sulam, M Elad‏
IEEE signal processing letters 23 (12), 1839-1843, 2016‏
342016
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مقالات 1–20