Uri Shaham

According to our database, Uri Shaham authored at least 24 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Supervised Domain Adaptation Based on Marginal and Conditional Distributions Alignment.

Ori Katz, Ronen Talmon, Uri Shaham

Trans. Mach. Learn. Res., 2024

G-SPARC: SPectral ARchitectures tackling the Cold-start problem in Graph learning.

Yahel Jacobs, Reut Dayan, Uri Shaham

CoRR, 2024

Sparse Binarization for Fast Keyword Spotting.

Jonathan Svirsky, Uri Shaham, Ofir Lindenbaum

CoRR, 2024

2022

Deep unsupervised feature selection by discarding nuisance and correlated features.

Uri Shaham, Ofir Lindenbaum, Jonathan Svirsky, Yuval Kluger

Neural Networks, 2022

Discovery of Single Independent Latent Variable.

Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Single Independent Component Recovery and Applications.

Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon

CoRR, 2021

Differentiable Unsupervised Feature Selection based on a Gated Laplacian.

Ofir Lindenbaum, Uri Shaham, Erez Peterfreund, Jonathan Svirsky, Nicolas Casey, Yuval Kluger

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities.

Uri Shaham, Jonathan Svirsky

CoRR, 2020

Let the Data Choose its Features: Differentiable Unsupervised Feature Selection.

Ofir Lindenbaum, Uri Shaham, Jonathan Svirsky, Erez Peterfreund, Yuval Kluger

CoRR, 2020

Learning to Ask Medical Questions using Reinforcement Learning.

Uri Shaham, Tom Zahavy, Cesar Caraballo, Shiwani Mahajan, Daisy Massey, Harlan M. Krumholz

Proceedings of the Machine Learning for Healthcare Conference, 2020

2018

Learning by coincidence: Siamese networks and common variable learning.

Uri Shaham, Roy R. Lederman

Pattern Recognit., 2018

Understanding adversarial training: Increasing local stability of supervised models through robust optimization.

Uri Shaham, Yutaro Yamada, Sahand Negahban

Neurocomputing, 2018

Automated Characterization of Stenosis in Invasive Coronary Angiography Images with Convolutional Neural Networks.

Benjamin Au, Uri Shaham, Sanket S. Dhruva, Georgios Bouras, Ecaterina Cristea, Alexandra Lansky, Andreas Coppi, Fred Warner, Shu-Xia Li, Harlan M. Krumholz

CoRR, 2018

Defending against Adversarial Images using Basis Functions Transformations.

Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly P. Stanton, Yuval Kluger

CoRR, 2018

SpectralNet: Spectral Clustering using Deep Neural Networks.

Uri Shaham, Kelly P. Stanton, Henry Li, Ronen Basri, Boaz Nadler, Yuval Kluger

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Removal of batch effects using distribution-matching residual networks.

Uri Shaham, Kelly P. Stanton, Jun Zhao, Huamin Li, Khadir Raddassi, Ruth R. Montgomery, Yuval Kluger

Bioinform., 2017

Gating mass cytometry data by deep learning.

Huamin Li, Uri Shaham, Kelly P. Stanton, Yi Yao, Ruth R. Montgomery, Yuval Kluger

Bioinform., 2017

2016

Deep Survival: A Deep Cox Proportional Hazards Network.

Jared Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, Yuval Kluger

CoRR, 2016

A Deep Learning Approach to Unsupervised Ensemble Learning.

Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization.

Uri Shaham, Yutaro Yamada, Sahand Negahban

CoRR, 2015

Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks.

Uri Shaham, Roy R. Lederman

CoRR, 2015

Provable approximation properties for deep neural networks.

Uri Shaham, Alexander Cloninger, Ronald R. Coifman

CoRR, 2015

Diffusion Nets.

Gal Mishne, Uri Shaham, Alexander Cloninger, Israel Cohen

CoRR, 2015

2008

Classification using Normalized Compression Distance.

Uri Shaham, Yael Edan

Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2008