Uri Shaham
Uri Shaham
Assistant professor, Bar Ilan University
Verified email at - Homepage
Cited by
Cited by
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
JL Katzman, U Shaham, A Cloninger, J Bates, T Jiang, Y Kluger
BMC medical research methodology 18, 1-12, 2018
Understanding adversarial training: Increasing local stability of supervised models through robust optimization
U Shaham, Y Yamada, S Negahban
Neurocomputing 307, 195-204, 2018
Spectralnet: Spectral clustering using deep neural networks
U Shaham, K Stanton, H Li, B Nadler, R Basri, Y Kluger
International Conference on Learning Representations. 2018., 2018
Provable approximation properties for deep neural networks
U Shaham, A Cloninger, RR Coifman
Applied and Computational Harmonic Analysis 44 (3), 537-557, 2018
Removal of batch effects using distribution-matching residual networks
U Shaham, KP Stanton, J Zhao, H Li, K Raddassi, R Montgomery, ...
Bioinformatics 33 (16), 2539-2546, 2017
Gating mass cytometry data by deep learning
H Li, U Shaham, KP Stanton, Y Yao, RR Montgomery, Y Kluger
Bioinformatics 33 (21), 3423-3430, 2017
Defending against adversarial images using basis functions transformations
U Shaham, J Garritano, Y Yamada, E Weinberger, A Cloninger, X Cheng, ...
arXiv preprint arXiv:1803.10840, 2018
Diffusion nets
G Mishne, U Shaham, A Cloninger, I Cohen
Applied and Computational Harmonic Analysis 47 (2), 259-285, 2019
Learning by coincidence: Siamese networks and common variable learning
U Shaham, RR Lederman
Pattern Recognition 74, 52-63, 2018
A deep learning approach to unsupervised ensemble learning
U Shaham, X Cheng, O Dror, A Jaffe, B Nadler, J Chang, Y Kluger
International conference on machine learning, 30-39, 2016
Differentiable unsupervised feature selection based on a gated laplacian
O Lindenbaum, U Shaham, E Peterfreund, J Svirsky, N Casey, Y Kluger
Advances in neural information processing systems 34, 1530-1542, 2021
Automated characterization of stenosis in invasive coronary angiography images with convolutional neural networks
B Au, U Shaham, S Dhruva, G Bouras, E Cristea, AL MD, A Coppi, ...
arXiv preprint arXiv:1807.10597, 2018
Deep unsupervised feature selection by discarding nuisance and correlated features
U Shaham, O Lindenbaum, J Svirsky, Y Kluger
Neural Networks 152, 34-43, 2022
Stochastic neighbor embedding separates well-separated clusters
U Shaham, S Steinerberger
arXiv preprint arXiv:1702.02670, 2017
Batch effect removal via batch-free encoding
U Shaham
BioRxiv, 380816, 2018
Deep neural network to predict local failure following stereotactic body radiation therapy: integrating imaging and clinical data to predict outcomes
S Aneja, U Shaham, RJ Kumar, N Pirakitikulr, SK Nath, JB Yu, DJ Carlson, ...
International Journal of Radiation Oncology, Biology, Physics 99 (2), S47, 2017
Deep ordinal regression using optimal transport loss and unimodal output probabilities
U Shaham, I Zaidman, J Svirsky
arXiv preprint arXiv:2011.07607, 2020
Discovery of Single Independent Latent Variable
U Shaham, J Svirsky, O Katz, R Talmon
Advances in Neural Information Processing Systems, 2022
Learning to Ask Medical Questions using Reinforcement Learning
U Shaham, T Zahavy, C Caraballo, S Mahajan, D Massey, H Krumholz
Machine Learning for Healthcare Conference, 2-26, 2020
Methods for detecting co-mutated pathways in cancer samples to inform treatment selection
T Jiang, U Shaham, F Parisi, R Halaban, A Safonov, H Kluger, ...
bioRxiv, 082552, 2016
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