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Machine learning the real discriminant locus


Jun 24, 2020
Edgar A. Bernal, Jonathan D. Hauenstein, Dhagash Mehta, Margaret H. Regan, Tingting Tang

* 22 pages, 14 figures 

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Machine Learning Fund Categorizations


May 29, 2020
Dhagash Mehta, Dhruv Desai, Jithin Pradeep

* 8 pages, 2-column format, 5 figures 

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Towards Robust Deep Neural Networks


Oct 27, 2018
Timothy E. Wang, Jack Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal


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The loss surface of deep linear networks viewed through the algebraic geometry lens


Oct 17, 2018
Dhagash Mehta, Tianran Chen, Tingting Tang, Jonathan D. Hauenstein

* 16 pages (2-columns), 5 figures 

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The Loss Surface of XOR Artificial Neural Networks


Apr 06, 2018
Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal, David J. Wales

* Phys. Rev. E 97, 052307 (2018) 
* 19 pages, 6 figures. Submitted to journal in Oct, 2017 

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Fixed Points of Belief Propagation -- An Analysis via Polynomial Homotopy Continuation


May 30, 2017
Christian Knoll, Franz Pernkopf, Dhagash Mehta, Tianran Chen


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Perspective: Energy Landscapes for Machine Learning


Mar 23, 2017
Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales

* 41 pages, 25 figures. Accepted for publication in Physical Chemistry Chemical Physics, 2017 

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A Collection of Challenging Optimization Problems in Science, Engineering and Economics


Apr 09, 2015
Dhagash Mehta, Crina Grosan

* Accepted as an invited contribution to the special session on Evolutionary Computation for Nonlinear Equation Systems at the 2015 IEEE Congress on Evolutionary Computation (at Sendai International Center, Sendai, Japan, from 25th to 28th May, 2015.) 

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