Most Recent Additions*

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Distributed Learning of Deep Sparse Neural Networks for High-Dimensional Classification
Shweta Garg, R. Krishnan, Jagannathan Sarangapani, and V. A. Samaranayake

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Direct Error Driven Learning for Deep Neural Networks with Applications to Bigdata
R. Krishnan, Jagannathan Sarangapani, and V. A. Samaranayake

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Two-Phase Flows in Karstic Geometry
Daozhi Han, Dong Sun, and Xiaoming Wang

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Trace Pursuit Variable Selection for Multi-Population Data
Lei Huo, Xuerong Meggie Wen, and Zhou Yu

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The Focusing Cubic NLS with Inverse-Square Potential in Three Space Dimensions
Rowan Killip, Jason Murphy, Monica Visan, and Jiqiang Zheng

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The Defocusing Quintic NLS in Four Space Dimensions
Benjamin Dodson, Changxing Miao, Jason Murphy, and Jiqiang Zheng

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The Defocusing Energy-Supercritical NLS in Four Space Dimensions
Changxing Miao, Jason Murphy, and Jiqiang Zheng

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The Bessel Difference Equation
Martin Bohner and Tom Cuchta

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T-Closed Sets
Hussam Abobaker and W. J. Charatonik

*Updated as of 05/26/19.