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WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic

Jul 26, 2020
Renkun Ni, Hong-min Chu, Oscar Castañeda, Ping-yeh Chiang, Christoph Studer, Tom Goldstein


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Headless Horseman: Adversarial Attacks on Transfer Learning Models

Apr 20, 2020
Ahmed Abdelkader, Michael J. Curry, Liam Fowl, Tom Goldstein, Avi Schwarzschild, Manli Shu, Christoph Studer, Chen Zhu

* 5 pages, 2 figures. Accepted in ICASSP 2020. Code available on https://github.com/zhuchen03/headless-attack.git 

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MSE-Optimal Neural Network Initialization via Layer Fusion

Jan 28, 2020
Ramina Ghods, Andrew S. Lan, Tom Goldstein, Christoph Studer

* Extended version of the CISS 2020 paper containing the proof for convolutional layers 

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Siamese Neural Networks for Wireless Positioning and Channel Charting

Sep 29, 2019
Eric Lei, Oscar Castañeda, Olav Tirkkonen, Tom Goldstein, Christoph Studer

* Presented at Allerton 2019; 8 pages 

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Improving Channel Charting with Representation-Constrained Autoencoders

Aug 07, 2019
Pengzhi Huang, Oscar Castañeda, Emre Gönültaş, Saïd Medjkouh, Olav Tirkkonen, Tom Goldstein, Christoph Studer

* Presented at the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2019 

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Adversarially robust transfer learning

May 20, 2019
Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David Jacobs, Tom Goldstein


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Transferable Clean-Label Poisoning Attacks on Deep Neural Nets

May 16, 2019
Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein

* Accepted to ICML2019 

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Adversarial Training for Free!

Apr 29, 2019
Ali Shafahi, Mahyar Najibi, Amin Ghiasi, Zheng Xu, John Dickerson, Christoph Studer, Larry S. Davis, Gavin Taylor, Tom Goldstein


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Are adversarial examples inevitable?

Sep 06, 2018
Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein


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Channel Charting: Locating Users within the Radio Environment using Channel State Information

Aug 21, 2018
Christoph Studer, Saïd Medjkouh, Emre Gönültaş, Tom Goldstein, Olav Tirkkonen

* To appear in IEEE Access 

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An Estimation and Analysis Framework for the Rasch Model

Jun 09, 2018
Andrew S. Lan, Mung Chiang, Christoph Studer

* To be presented at ICML 2018 

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Linear Spectral Estimators and an Application to Phase Retrieval

Jun 09, 2018
Ramina Ghods, Andrew S. Lan, Tom Goldstein, Christoph Studer

* To appear at ICML 2018, extended version with supplementary material 

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Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

Apr 03, 2018
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein

* 12 pages, 7 figures, with additional appendix 

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Visualizing the Loss Landscape of Neural Nets

Mar 05, 2018
Hao Li, Zheng Xu, Gavin Taylor, Christoph Studer, Tom Goldstein


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Linearized Binary Regression

Feb 01, 2018
Andrew S. Lan, Mung Chiang, Christoph Studer

* To be presented at CISS (http://ee-ciss.princeton.edu/

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Training Quantized Nets: A Deeper Understanding

Nov 13, 2017
Hao Li, Soham De, Zheng Xu, Christoph Studer, Hanan Samet, Tom Goldstein

* NIPS 2017 

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Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation

Apr 10, 2017
Zheng Xu, Mario A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein

* CVPR 2017 

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An Empirical Study of ADMM for Nonconvex Problems

Dec 10, 2016
Zheng Xu, Soham De, Mario Figueiredo, Christoph Studer, Tom Goldstein

* NIPS nonconvex workshop 

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Biconvex Relaxation for Semidefinite Programming in Computer Vision

Aug 08, 2016
Sohil Shah, Abhay Kumar, Carlos Castillo, David Jacobs, Christoph Studer, Tom Goldstein


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Estimating Sparse Signals with Smooth Support via Convex Programming and Block Sparsity

May 06, 2016
Sohil Shah, Tom Goldstein, Christoph Studer

* To appear at CVPR 2016 

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Video Compressive Sensing for Spatial Multiplexing Cameras using Motion-Flow Models

Aug 05, 2015
Aswin C. Sankaranarayanan, Lina Xu, Christoph Studer, Yun Li, Kevin Kelly, Richard G. Baraniuk

* in SIAM Journal on Imaging Sciences, 2015 

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SPRITE: A Response Model For Multiple Choice Testing

Jan 12, 2015
Ryan Ning, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk


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Quantized Matrix Completion for Personalized Learning

Dec 18, 2014
Andrew S. Lan, Christoph Studer, Richard G. Baraniuk

* In Proc. 7th Intl. Conf. on Educational Data Mining, pages 280-283, July 2014 

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Tag-Aware Ordinal Sparse Factor Analysis for Learning and Content Analytics

Dec 18, 2014
Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk

* In Proc. 6th Intl. Conf. on Educational Data Mining, pages 90-97, July 2013 

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Time-varying Learning and Content Analytics via Sparse Factor Analysis

Dec 19, 2013
Andrew S. Lan, Christoph Studer, Richard G. Baraniuk


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Sparse Factor Analysis for Learning and Content Analytics

Jul 19, 2013
Andrew S. Lan, Andrew E. Waters, Christoph Studer, Richard G. Baraniuk

* Journal of Machine Learning Research, vol. 15, pp. 1959-2008, June, 2014 

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Joint Topic Modeling and Factor Analysis of Textual Information and Graded Response Data

May 10, 2013
Andrew S. Lan, Christoph Studer, Andrew E. Waters, Richard G. Baraniuk


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