D. Mehta

发表

Energy landscape of the finite-size mean-field 2-spin spherical model and topology trivialization.

D. Mehta, J. Hauenstein, M. Niemerg, 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

Energy Landscape of the Finite-Size Mean-field 3-Spin Spherical Model

D. Mehta, D. Stariolo, M. Kastner, 2013, 1303.1520.

M L ] 6 A pr 2 01 8 The Loss Surface of XOR Artificial Neural Networks

Edgar A. Bernal, D. Mehta, D. Wales, 2018 .

Reliable mixture critical point computation using polynomial homotopy continuation

D. Mehta, Hythem Sidky, J. Whitmer, 2016 .

Algebraic Geometric Method for Calculating Phase Equilibria from Fundamental Equations of State

Alan C. Liddell, D. Mehta, J. Hauenstein, 2016 .

Communication: Newton homotopies for sampling stationary points of potential energy landscapes.

D. Mehta, J. Hauenstein, D. Wales, 2014, The Journal of chemical physics.

Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Precompression

Michael M. Joly, D. Mehta, S. Sarkar, 2019, Journal of Turbomachinery.

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

D. Mehta, F. Pernkopf, Tianran Chen, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Properties of kinetic transition networks for atomic clusters and glassy solids.

D. Mehta, D. Wales, J. W. R. Morgan, 2017, Physical chemistry chemical physics : PCCP.

Algebraic geometrization of the Kuramoto model: Equilibria and stability analysis.

Florian Dörfler, Dhagash Mehta, Noah S. Daleo, 2014, Chaos.

An inversion-relaxation approach for sampling stationary points of spin model Hamiltonians.

Dhagash Mehta, David J Wales, D. Mehta, 2014, The Journal of chemical physics.

Phase transitions detached from stationary points of the energy landscape.

Dhagash Mehta, Michael Kastner, D. Mehta, 2011, Physical review letters.

Numerical Analyses on Moduli Space of Vacua

D. Mehta, J. Hauenstein, Yang-Hui He, 2017 .

Stationary point analysis of the one-dimensional lattice Landau gauge fixing functional, aka random phase XY Hamiltonian

Dhagash Mehta, Michael Kastner, D. Mehta, 2010, 1010.5335.

Response to "Comment on 'Exploring the potential energy landscape of the Thomson problem via Newton homotopies"' [J. Chem. Phys. 143, 247101 (2015)].

D. Mehta, D. Wales, J. W. R. Morgan, 2015, Journal of Chemical Physics.

Three Formulations of the Kuramoto Model as a System of Polynomial Equations

Jakub Marecek, Dhagash Mehta, Tianran Chen, 2016, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Enumerating Copies in the First Gribov Region on the Lattice in up to four Dimensions

D. Mehta, M. Schrock, 2014, 1403.0555.

Parallel degree computation for binomial systems

D. Mehta, Tianran Chen, 2017 .

D. Mehta, P. Sommer, S. Pasquali, 2022, 2207.04368.

Learning Mutual Fund Categorization using Natural Language Processing

Máté Attila Tóth, D. Mehta, S. Pasquali, 2022, ICAIF.

Machine learning the real discriminant locus

Edgar A. Bernal, Margaret H. Regan, D. Mehta, 2020, J. Symb. Comput..

Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning

D. Mehta, S. Pasquali, Bhaskarjit Sarmah, 2022, 2207.07183.

Lattice Landau gauge via Stereographic Projection

D. Mehta, L. Smekal, A. Sternbeck, 2008, 0812.2992.

Modified Lattice Landau Gauge

D. Mehta, Anthony G Williams, L. Smekal, 2007, 0710.2410.

Numerical Polynomial Homotopy Continuation Method and String

D. Mehta, Vacua, 2014 .

Global structure of curves from generalized unitarity cut of three-loop diagrams

D. Mehta, J. Hauenstein, Rijun Huang, 2014, 1408.3355.

Supersymmetric lattice fermions on the triangular lattice: superfrustration and criticality

D. Mehta, J. Vala, L. Huijse, 2011, 1112.3314.

D. Mehta, P. Sommer, S. Pasquali, 2022, ICAIF.

On exact minimization of Higgs potentials

D. Mehta, M. Maniatis, 2013, 1307.1703.

Numerical Algebraic Geometry: A New Perspective on String and Gauge Theories

Jonathan D. Hauenstein, Yang-Hui He, Dhagash Mehta, 2012 .

Global structure of curves from generalized unitarity cut of three-loop diagrams

D. Mehta, J. Hauenstein, Rijun Huang, 2015, Journal of High Energy Physics.

Numerical elimination and moduli space of vacua

D. Mehta, J. Hauenstein, Yang-Hui He, 2013, Journal of High Energy Physics.

Exploring the potential energy landscape over a large parameter-space

D. Mehta, M. Niemerg, Yang-Hui He, 2013, Journal of High Energy Physics.

Machine learning fund categorizations pdf

Dhagash Mehta, Dhruv Desai, Jithin Pradeep, 2020, ICAIF.

Exploring the energy landscape of XY models

Dhagash Mehta, Michael Kastner, Lapo Casetti, 2012, 1211.4800.

The Loss Surface of Deep Linear Networks Viewed Through the Algebraic Geometry Lens pdf

Tingting Tang, Jonathan D. Hauenstein, Dhagash Mehta, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Counting Equilibria of the Kuramoto Model Using Birationally Invariant Intersection Index

Dhagash Mehta, Robert Davis, Tianran Chen, 2017, SIAM J. Appl. Algebra Geom..

A Network Topology Dependent Upper Bound on the Number of Equilibria of the Kuramoto Model pdf

Dhagash Mehta, Tianran Chen, Matthew E. Niemerg, 2016, ArXiv.

A collection of challenging optimization problems in science, engineering and economics

Crina Grosan, Dhagash Mehta, D. Mehta, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Gauge-fixing on the lattice via orbifolding

Noah S. Daleo, D. Mehta, J. Hauenstein, 2014, 1406.6678.

Potential energy landscape of the two-dimensional XY model: higher-index stationary points.

D. Mehta, M. Kastner, D. Wales, 2014, The Journal of chemical physics.

Potential energy landscapes for the 2D XY model: minima, transition states, and pathways.

Dhagash Mehta, David J Wales, Mario Schröck, 2013, The Journal of chemical physics.

Energy landscape of the finite-size spherical three-spin glass model.

Dhagash Mehta, Michael Kastner, D. Mehta, 2013, Physical review. E, Statistical, nonlinear, and soft matter physics.

Exploring the potential energy landscape over a large parameter-space

Yang-Hui He, Dhagash Mehta, Matthew Niemerg, 2013, 1301.0946.

Finding all flux vacua in an explicit example

Dhagash Mehta, Alexander Westphal, D. Mehta, 2012, 1212.4530.

Numerical elimination and moduli space of vacua

Yang-Hui He, Dhagash Mehta, D. Mehta, 2012, 1210.6038.

Enumerating Gribov copies on the lattice

Dhagash Mehta, Jon-Ivar Skullerud, D. Mehta, 2012, 1203.4847.

Minimizing Higgs potentials via numerical polynomial homotopy continuation

Dhagash Mehta, D. Mehta, Markos Maniatis, 2012, 1203.0409.

Energy-landscape analysis of the two-dimensional nearest-neighbor φ⁴ model.

D. Mehta, J. Hauenstein, M. Kastner, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Numerical Polynomial Homotopy Continuation Method and String Vacua

Dhagash Mehta, D. Mehta, 2011, 1108.1201.

Finding all the stationary points of a potential-energy landscape via numerical polynomial-homotopy-continuation method.

Dhagash Mehta, D. Mehta, 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

Lattice Landau Gauge and Algebraic Geometry

Dhagash Mehta, Lorenz von Smekal, D. Mehta, 2009, 0912.0450.

An index-resolved fixed-point homotopy and potential energy landscapes pdf

Dhagash Mehta, Tianran Chen, D. Mehta, 2015, ArXiv.

Fund2Vec: mutual funds similarity using graph learning pdf

Dhagash Mehta, Dhruv Desai, Vipul Satone, 2021, ICAIF.

Tumbling through a landscape: Evidence of instabilities in high-dimensional moduli spaces

Dhagash Mehta, Erick J. Weinberg, D. Mehta, 2013, 1303.4428.

Spectral functions of charmonium from 2 flavour anisotropic lattice data

D. Mehta, M. Oktay, J. Skullerud, 2013, 1312.0791.

't Hooft-Polyakov monopoles in lattice SU(N)+ adjoint Higgs theory

D. Mehta, L. Smekal, A. Rajantie, 2009, 0906.5531.

Stability and Bifurcation Analysis of Coupled Fitzhugh-Nagumo Oscillators pdf

Guillaume Moroz, Dhagash Mehta, William Hanan, 2010, ArXiv.

Lattice vs. Continuum: Landau Gauge Fixing and 't Hooft-Polyakov Monopoles

D. Mehta, Dhagash B. Mehta, 2010 .

Numerical algebraic geometry: a new perspective on gauge and string theories

D. Mehta, J. Hauenstein, Yang-Hui He, 2012, Journal of High Energy Physics.

Numerical algebraic geometry: a new perspective on gauge and string theories

Jonathan D. Hauenstein, Yang-Hui He, Dhagash Mehta, 2012, Journal of High Energy Physics.

Equilibria and stability analysis in applications via numerical algebraic geometry

Noah S. Daleo, D. Mehta, J. Hauenstein, 2015 .

Phase transitions and gluodynamics in 2-colour matter at high density

D. Mehta, J. Skullerud, L. Fister, 2013, 1303.3223.

Towards Robust Deep Neural Networks pdf

Edgar A. Bernal, Dhagash Mehta, Xiaojun Zhao, 2018, ArXiv.

Parallel degree computation for solution space of binomial systems with an application to the master space of $\mathcal{N}=1$ gauge theories pdf

Dhagash Mehta, Tianran Chen, D. Mehta, 2015, ArXiv.

Numerical polynomial homotopy continuation method to locate all the power flow solutions

Konstantin Turitsyn, Dhagash Mehta, Hung Nguyen, 2014, 1408.2732.

Communication: Certifying the potential energy landscape.

Dhagash Mehta, David J Wales, D. Mehta, 2013, The Journal of chemical physics.

Certifying the Potential Energy Landscape

D. Mehta, J. Hauenstein, 2013 .

Investigating the Maximum Number of Real Solutions to the Power Flow Equations: Analysis of Lossless Four-Bus Systems pdf

Jonathan D. Hauenstein, Daniel K. Molzahn, Dhagash Mehta, 2016, ArXiv.

On the Network Topology Dependent Solution Count of the Algebraic Load Flow Equations

Dhagash Mehta, Tianran Chen, D. Mehta, 2015, IEEE Transactions on Power Systems.

Toward topologically based upper bounds on the number of power flow solutions

Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg, 2015, 2016 American Control Conference (ACC).

Recent advances in computational methods for the power flow equations

Daniel K. Molzahn, Konstantin Turitsyn, Dhagash Mehta, 2015, 2016 American Control Conference (ACC).

Special issue on Algebraic Geometry and Machine Learning

I. Kotsireas, D. Mehta, J. Hauenstein, 2022, J. Symb. Comput..

The Loss Surface of XOR Artificial Neural Networks

Edgar A. Bernal, Dhagash Mehta, Xiaojun Zhao, 2018, Physical review. E.

Health State Risk Categorization: A Machine Learning Clustering Approach Using Health and Retirement Study Data

D. Mehta, F. Tan, 2022, The Journal of Financial Data Science.

On Robustness of Mutual Funds Categorization and Distance Metric Learning

D. Mehta, Dhruv Desai, 2021, The Journal of Financial Data Science.

Investor behavior modeling by analyzing financial advisor notes: a machine learning perspective

Dhagash Mehta, Han-Tai Shiao, Cynthia Pagliaro, 2021, ICAIF.

Energy landscapes for machine learning.

Levent Sagun, Dhagash Mehta, Ritankar Das, 2017, Physical chemistry chemical physics : PCCP.

Quantifying Outlierness of Funds from their Categories using Supervised Similarity

D. Mehta, S. Pasquali, Deepika Sharma, 2023, ArXiv.

Certified counting of roots of random univariate polynomials pdf

Anthony Morse, Jonathan D. Hauenstein, Dhagash Mehta, 2014, ArXiv.

Experiments on the Zeros of Harmonic Polynomials Using Certified Counting

Jonathan D. Hauenstein, Dhagash Mehta, Erik Lundberg, 2014, Exp. Math..

Exploring the potential energy landscape of the Thomson problem via Newton homotopies.

Dhagash Mehta, Tianran Chen, John W R Morgan, 2015, The Journal of chemical physics.

Statistics of stationary points of random finite polynomial potentials

Dhagash Mehta, Matthew Niemerg, D. Mehta, 2015, 1504.02786.

Certification and the potential energy landscape.

Dhagash Mehta, David J Wales, D. Mehta, 2014, The Journal of chemical physics.

Kinetic Transition Networks for the Thomson Problem and Smale's Seventh Problem.

Dhagash Mehta, Jianxu Chen, Halim Kusumaatmaja, 2016, Physical review letters.

D. Mehta, S. Pasquali, Dhruv Desai, 2023, 2308.08031.

Algebraic geometrization of the Kuramoto model: Equilibria and stability analysis.

Noah S. Daleo, D. Mehta, J. Hauenstein, 2014, Chaos.

Decomposing the Parameter Space of Biological Networks via a Numerical Discriminant Approach

Helen M. Byrne, Heather A. Harrington, Jonathan D. Hauenstein, 2016, MC.

Recent advances in computational methods for the power flow equations

D. Mehta, K. Turitsyn, D. Molzahn, 2015, 2016 American Control Conference (ACC).

Stability and symmetry breaking in a three Higgs-boson doublet model with lepton family symmetry O(2)xZ2

D. Mehta, M. Maniatis, C. M. Reyes, 2015, 1503.05948.

On exact minimization of Higgs potentials

D. Mehta, M. Maniatis, 2014, The European Physical Journal Plus.