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ORCIDUri Shaham 0001
Person information
- affiliation: Bar-Ilan University, Ramat Gan, Israel
- affiliation (former): Yale University, New Haven, CT, USA
Other persons with the same name
- Uri Shaham 0002 — Tel Aviv University, Israel
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2020 – today
- 2022
[j5]Uri Shaham
, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger:
Deep unsupervised feature selection by discarding nuisance and correlated features. Neural Networks 152: 34-43 (2022)- [c6]Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon:
Discovery of Single Independent Latent Variable. NeurIPS 2022 - 2021
- [c5]Ofir Lindenbaum, Uri Shaham, Erez Peterfreund, Jonathan Svirsky, Nicolas Casey, Yuval Kluger:
Differentiable Unsupervised Feature Selection based on a Gated Laplacian. NeurIPS 2021: 1530-1542 - [i14]Uri Shaham, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger:
Deep Unsupervised Feature Selection by Discarding Nuisance and Correlated Features. CoRR abs/2110.05306 (2021) - [i13]Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon:
Single Independent Component Recovery and Applications. CoRR abs/2110.05887 (2021) - 2020
- [c4]Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz:
Learning to Ask Medical Questions using Reinforcement Learning. MLHC 2020: 2-26 - [i12]Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz:
Learning to Ask Medical Questions using Reinforcement Learning. CoRR abs/2004.00994 (2020) - [i11]Ofir Lindenbaum, Uri Shaham, Jonathan Svirsky, Erez Peterfreund, Yuval Kluger:
Let the Data Choose its Features: Differentiable Unsupervised Feature Selection. CoRR abs/2007.04728 (2020) - [i10]Uri Shaham, Jonathan Svirsky:
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities. CoRR abs/2011.07607 (2020)
2010 – 2019
- 2018
- [j4]Uri Shaham, Yutaro Yamada, Sahand Negahban:
Understanding adversarial training: Increasing local stability of supervised models through robust optimization. Neurocomputing 307: 195-204 (2018) - [j3]Uri Shaham, Roy R. Lederman:
Learning by coincidence: Siamese networks and common variable learning. Pattern Recognit. 74: 52-63 (2018) - [c3]Uri Shaham, Kelly P. Stanton, Henry Li, Ronen Basri, Boaz Nadler, Yuval Kluger:
SpectralNet: Spectral Clustering using Deep Neural Networks. ICLR (Poster) 2018 - [i9]Uri Shaham, Kelly P. Stanton, Henry Li, Boaz Nadler, Ronen Basri, Yuval Kluger:
SpectralNet: Spectral Clustering using Deep Neural Networks. CoRR abs/1801.01587 (2018) - [i8]Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly P. Stanton, Yuval Kluger:
Defending against Adversarial Images using Basis Functions Transformations. CoRR abs/1803.10840 (2018) - [i7]Benjamin Au, Uri Shaham, Sanket S. Dhruva, Georgios Bouras, Ecaterina Cristea, Alexandra Lansky, Andreas Coppi, Fred Warner, Shu-Xia Li, Harlan M. Krumholz:
Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks. CoRR abs/1807.10597 (2018) - 2017
- [j2]Uri Shaham, Kelly P. Stanton, Jun Zhao, Huamin Li, Khadir Raddassi, Ruth R. Montgomery, Yuval Kluger:
Removal of batch effects using distribution-matching residual networks. Bioinform. 33(16): 2539-2546 (2017) - [j1]Huamin Li, Uri Shaham, Kelly P. Stanton, Yi Yao, Ruth R. Montgomery, Yuval Kluger:
Gating mass cytometry data by deep learning. Bioinform. 33(21): 3423-3430 (2017) - 2016
- [c2]Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
A Deep Learning Approach to Unsupervised Ensemble Learning. ICML 2016: 30-39 - [i6]Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
A Deep Learning Approach to Unsupervised Ensemble Learning. CoRR abs/1602.02285 (2016) - [i5]Jared Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, Yuval Kluger:
Deep Survival: A Deep Cox Proportional Hazards Network. CoRR abs/1606.00931 (2016) - 2015
- [i4]Gal Mishne, Uri Shaham, Alexander Cloninger, Israel Cohen:
Diffusion Nets. CoRR abs/1506.07840 (2015) - [i3]Uri Shaham, Alexander Cloninger, Ronald R. Coifman:
Provable approximation properties for deep neural networks. CoRR abs/1509.07385 (2015) - [i2]Uri Shaham, Yutaro Yamada, Sahand Negahban:
Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization. CoRR abs/1511.05432 (2015) - [i1]Uri Shaham, Roy R. Lederman:
Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks. CoRR abs/1512.08806 (2015)
2000 – 2009
- 2008
- [c1]Uri Shaham, Yael Edan:
Classification using Normalized Compression Distance. Artificial Intelligence and Pattern Recognition 2008: 63-69
Coauthor Index
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