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Learning Globally Smooth Functions on Manifolds


Oct 01, 2022
Juan Cervino, Luiz Chamon, Benjamin D. Haeffele, Rene Vidal, Alejandro Ribeiro

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Interpretable by Design: Learning Predictors by Composing Interpretable Queries


Jul 03, 2022
Aditya Chattopadhyay, Stewart Slocum, Benjamin D. Haeffele, Rene Vidal, Donald Geman

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* 30 pages, 14 figures 

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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

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* 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

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* 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

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

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