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Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction


Feb 19, 2021
Mehdi Azabou, Mohammad Gheshlaghi Azar, Ran Liu, Chi-Heng Lin, Erik C. Johnson, Kiran Bhaskaran-Nair, Max Dabagia, Keith B. Hengen, William Gray-Roncal, Michal Valko, Eva L. Dyer


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Making transport more robust and interpretable by moving data through a small number of anchor points


Dec 21, 2020
Chi-Heng Lin, Mehdi Azabou, Eva L. Dyer


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Bayesian optimization for modular black-box systems with switching costs


Jun 04, 2020
Chi-Heng Lin, Joseph D. Miano, Eva L. Dyer


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Hierarchical Optimal Transport for Multimodal Distribution Alignment


Jun 27, 2019
John Lee, Max Dabagia, Eva L. Dyer, Christopher J. Rozell


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RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets


Oct 27, 2016
Azalia Mirhoseini, Eva L. Dyer, Ebrahim. M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar

* 13 pages, 10 figures 

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Quantifying mesoscale neuroanatomy using X-ray microtomography


Jul 26, 2016
Eva L. Dyer, William Gray Roncal, Hugo L. Fernandes, Doga Gürsoy, Vincent De Andrade, Rafael Vescovi, Kamel Fezzaa, Xianghui Xiao, Joshua T. Vogelstein, Chris Jacobsen, Konrad P. Körding, Narayanan Kasthuri

* 28 pages, 9 figures 

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oASIS: Adaptive Column Sampling for Kernel Matrix Approximation


May 19, 2015
Raajen Patel, Thomas A. Goldstein, Eva L. Dyer, Azalia Mirhoseini, Richard G. Baraniuk


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Self-Expressive Decompositions for Matrix Approximation and Clustering


May 04, 2015
Eva L. Dyer, Tom A. Goldstein, Raajen Patel, Konrad P. Kording, Richard G. Baraniuk

* 11 pages, 7 figures 

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Greedy Feature Selection for Subspace Clustering


Jul 03, 2013
Eva L. Dyer, Aswin C. Sankaranarayanan, Richard G. Baraniuk

* Journal of Machine Learning Research, Vol.14, Issue 1, pp. 2487-2517, January 2013 
* 32 pages, 7 figures, 1 table 

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