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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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