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The Vision of Self-Evolving Computing Systems


Apr 14, 2022
Danny Weyns, Thomas Baeck, Rene Vidal, Xin Yao, Ahmed Nabil Belbachir

* 19 pages 

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Structured Graph Variational Autoencoders for Indoor Furniture layout Generation


Apr 13, 2022
Aditya Chattopadhyay, Xi Zhang, David Paul Wipf, Himanshu Arora, Rene Vidal


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Prospective Learning: Back to the Future


Jan 19, 2022
Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal Burns, Kwame Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena Savonenko, Ian Phillips, Michael I. Miller, Rene Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish Thakor, Justus M Kebschull, Marilyn Albert, Jinchong Xu, Marshall Hussain Shuler, Brian Caffo, Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan, Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Adam Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang


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Boosting RANSAC via Dual Principal Component Pursuit


Oct 06, 2021
Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, Rene Vidal, Manolis C. Tsakiris


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On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks


May 13, 2021
Hancheng Min, Salma Tarmoun, Rene Vidal, Enrique Mallada


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Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces


Jun 07, 2020
Chong You, Chi Li, Daniel P. Robinson, Rene Vidal

* In submission; conference version at ECCV'2018 

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Is an Affine Constraint Needed for Affine Subspace Clustering?


May 08, 2020
Chong You, Chun-Guang Li, Daniel P. Robinson, Rene Vidal

* ICCV 2019. Including proofs that are omitted in the conference version 

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Basis Pursuit and Orthogonal Matching Pursuit for Subspace-preserving Recovery: Theoretical Analysis


Dec 30, 2019
Daniel P. Robinson, Rene Vidal, Chong You

* 31 pages, 6 figures 

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Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms


Dec 24, 2018
Zhihui Zhu, Yifan Wang, Daniel P. Robinson, Daniel Q. Naiman, Rene Vidal, Manolis C. Tsakiris


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Dual Principal Component Pursuit


Aug 04, 2018
Manolis C. Tsakiris, Rene Vidal


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Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images


Jul 20, 2018
Siddharth Mahendran, Haider Ali, Rene Vidal


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On the Implicit Bias of Dropout


Jun 26, 2018
Poorya Mianjy, Raman Arora, Rene Vidal

* 17 pages, 3 figures, In Proceedings of the Thirty-fifth International Conference on Machine Learning (ICML), 2018 

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A Mixed Classification-Regression Framework for 3D Pose Estimation from 2D Images


May 08, 2018
Siddharth Mahendran, Haider Ali, Rene Vidal


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Theoretical Analysis of Sparse Subspace Clustering with Missing Entries


Feb 09, 2018
Manolis C. Tsakiris, Rene Vidal


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Mathematics of Deep Learning


Dec 13, 2017
Rene Vidal, Joan Bruna, Raja Giryes, Stefano Soatto


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Stretching Domain Adaptation: How far is too far?


Dec 06, 2017
Yunhan Zhao, Haider Ali, Rene Vidal


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Dropout as a Low-Rank Regularizer for Matrix Factorization


Oct 13, 2017
Jacopo Cavazza, Pietro Morerio, Benjamin Haeffele, Connor Lane, Vittorio Murino, Rene Vidal


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Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications


Aug 25, 2017
Benjamin D. Haeffele, Rene Vidal


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3D Pose Regression using Convolutional Neural Networks


Aug 18, 2017
Siddharth Mahendran, Haider Ali, Rene Vidal


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Curriculum Dropout


Aug 03, 2017
Pietro Morerio, Jacopo Cavazza, Riccardo Volpi, Rene Vidal, Vittorio Murino

* Accepted at ICCV (International Conference on Computer Vision) 2017 

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Hyperplane Clustering Via Dual Principal Component Pursuit


Jun 19, 2017
Manolis C. Tsakiris, Rene Vidal


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Filtrated Algebraic Subspace Clustering


Mar 08, 2017
Manolis C. Tsakiris, Rene Vidal


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Algebraic Clustering of Affine Subspaces


Mar 08, 2017
Manolis C. Tsakiris, Rene Vidal


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Information Pursuit: A Bayesian Framework for Sequential Scene Parsing


Jan 09, 2017
Ehsan Jahangiri, Erdem Yoruk, Rene Vidal, Laurent Younes, Donald Geman


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Temporal Convolutional Networks for Action Segmentation and Detection


Nov 16, 2016
Colin Lea, Michael D. Flynn, Rene Vidal, Austin Reiter, Gregory D. Hager


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Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation


Sep 30, 2016
Colin Lea, Austin Reiter, Rene Vidal, Gregory D. Hager

* Updated from the ECCV 2016 version. We fixed an important mathematical error and made the section on segmental inference clearer 

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Temporal Convolutional Networks: A Unified Approach to Action Segmentation


Aug 29, 2016
Colin Lea, Rene Vidal, Austin Reiter, Gregory D. Hager

* Submitted to the ECCV workshop on "Brave new ideas for motion representations in videos" (http://bravenewmotion.github.io/

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Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering


May 09, 2016
Chong You, Chun-Guang Li, Daniel P. Robinson, Rene Vidal

* 15 pages, 6 figures, accepted to CVPR 2016 for oral presentation 

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Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit


May 05, 2016
Chong You, Daniel P. Robinson, Rene Vidal

* 13 pages, 1 figure, 2 tables. Accepted to CVPR 2016 as an oral presentation 

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