Dhagash Mehta

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 31

Top Topics

Algebraic Geometry

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu
Towards reducing hallucination in extracting information from financial reports using Large Language Models. AIMLSystems (2023)
Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali
Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach. CoRR (2023)
Edgar A. Bernal, Jonathan D. Hauenstein, Dhagash Mehta, Margaret H. Regan, Tingting Tang
Machine learning the real discriminant locus. J. Symb. Comput. 115 (2023)
Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali
Quantifying Outlierness of Funds from their Categories using Supervised Similarity. CoRR (2023)
Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali
Quantifying Outlierness of Funds from their Categories using Supervised Similarity. ICAIF (2023)
Jonathan D. Hauenstein, Yang-Hui He, Ilias S. Kotsireas, Dhagash Mehta, Tingting Tang
Special issue on Algebraic Geometry and Machine Learning. J. Symb. Comput. 118 (2023)
Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali
Towards reducing hallucination in extracting information from financial reports using Large Language Models. CoRR (2023)
Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali
Learning Mutual Fund Categorization using Natural Language Processing. ICAIF (2022)
Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, Peter Chu, Stefano Pasquali, Philip Sommer
Supervised similarity learning for corporate bonds using Random Forest proximities. ICAIF (2022)
Dhagash Mehta, Tianran Chen, Tingting Tang, Jonathan D. Hauenstein
The Loss Surface of Deep Linear Networks Viewed Through the Algebraic Geometry Lens. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Vipul Satone, Dhruv Desai, Dhagash Mehta
Fund2Vec: Mutual Funds Similarity using Graph Learning. CoRR (2021)
Vipul Satone, Dhruv Desai, Dhagash Mehta
Fund2Vec: mutual funds similarity using graph learning. ICAIF (2021)
Cynthia Pagliaro, Dhagash Mehta, Han-Tai Shiao, Shaofei Wang, Luwei Xiong
Investor behavior modeling by analyzing financial advisor notes: a machine learning perspective. ICAIF (2021)
Edgar A. Bernal, Jonathan D. Hauenstein, Dhagash Mehta, Margaret H. Regan, Tingting Tang
Machine learning the real discriminant locus. CoRR (2020)
Dhagash Mehta, Dhruv Desai, Jithin Pradeep
Machine Learning Fund Categorizations. CoRR (2020)
Dhagash Mehta, Dhruv Desai, Jithin Pradeep
Machine learning fund categorizations. ICAIF (2020)
Tianran Chen, Jakub Marecek, Dhagash Mehta, Matthew E. Niemerg
Three Formulations of the Kuramoto Model as a System of Polynomial Equations. Allerton (2019)
Heather A. Harrington, Dhagash Mehta, Helen M. Byrne, Jonathan D. Hauenstein
Decomposing the Parameter Space of Biological Networks via a Numerical Discriminant Approach. MC (2019)
Timothy E. Wang, Jack Gu, Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal
Towards Robust Deep Neural Networks. CoRR (2018)
Christian Knoll, Dhagash Mehta, Tianran Chen, Franz Pernkopf
Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. IEEE Trans. Pattern Anal. Mach. Intell. 40 (9) (2018)
Shaunak D. Bopardikar, Dhagash Mehta, Jonathan D. Hauenstein
Optimal Configurations in Coverage Control with Polynomial Costs. CoRR (2018)
Dhagash Mehta, Xiaojun Zhao, Edgar A. Bernal, David J. Wales
The Loss Surface of XOR Artificial Neural Networks. CoRR (2018)
Dhagash Mehta, Tianran Chen, Tingting Tang, Jonathan D. Hauenstein
The loss surface of deep linear networks viewed through the algebraic geometry lens. CoRR (2018)
Tianran Chen, Robert Davis, Dhagash Mehta
Counting Equilibria of the Kuramoto Model Using Birationally Invariant Intersection Index. SIAM J. Appl. Algebra Geom. 2 (4) (2018)
Andrew J. Ballard, Ritankar Das, Stefano Martiniani, Dhagash Mehta, Levent Sagun, Jacob D. Stevenson, David J. Wales
Perspective: Energy Landscapes for Machine Learning. CoRR (2017)
Souvik Chandra, Dhagash Mehta, Aranya Chakrabortty
Locating Power Flow Solution Space Boundaries: A Numerical Polynomial Homotopy Approach. CoRR (2017)
Daniel K. Molzahn, Matthew E. Niemerg, Dhagash Mehta, Jonathan D. Hauenstein
Investigating the Maximum Number of Real Solutions to the Power Flow Equations: Analysis of Lossless Four-Bus Systems. CoRR (2016)
Dhagash Mehta
Introduction to numerical polynomial homotopy continuation methods for the power systems practitioners. ACC (2016)
Tianran Chen, Dhagash Mehta, Matthew E. Niemerg
A Network Topology Dependent Upper Bound on the Number of Equilibria of the Kuramoto Model. CoRR (2016)
Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg
Toward topologically based upper bounds on the number of power flow solutions. ACC (2016)
Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn
Recent advances in computational methods for the power flow equations. ACC (2016)
Dhagash Mehta, Crina Grosan
A Collection of Challenging Optimization Problems in Science, Engineering and Economics. CoRR (2015)
Souvik Chandra, Dhagash Mehta, Aranya Chakrabortty
Exploring the impact of wind penetration on power system equilibrium using a numerical continuation approach. ACC (2015)
Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg
Toward Topologically Based Upper Bounds on the Number of Power Flow Solutions. CoRR (2015)
Dhagash Mehta, Crina Grosan
A collection of challenging optimization problems in science, engineering and economics. CEC (2015)
Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn
Recent Advances in Computational Methods for the Power Flow Equations. CoRR (2015)
Jonathan D. Hauenstein, Antonio Lerario, Erik Lundberg, Dhagash Mehta
Experiments on the Zeros of Harmonic Polynomials Using Certified Counting. Exp. Math. 24 (2) (2015)
Tianran Chen, Dhagash Mehta
Parallel degree computation for solution space of binomial systems with an application to the master space of $\mathcal{N}=1$ gauge theories. CoRR (2015)
Tianran Chen, Dhagash Mehta
An index-resolved fixed-point homotopy and potential energy landscapes. CoRR (2015)
Tianran Chen, Dhagash Mehta
On the Network Topology Dependent Solution Count of the Algebraic Load Flow Equations. CoRR (2015)
Joseph Cleveland, Jeffrey Dzugan, Jonathan D. Hauenstein, Ian Haywood, Dhagash Mehta, Anthony Morse, Leonardo Robol, Taylor Schlenk
Certified counting of roots of random univariate polynomials. CoRR (2014)
Souvik Chandra, Dhagash Mehta, Aranya Chakrabortty
Exploring the Impact of Wind Penetration on Power System Equilibrium Using a Numerical Continuation Approach. CoRR (2014)
William Hanan, Dhagash Mehta, Guillaume Moroz, Sepanda Pouryahya
Stability and Bifurcation Analysis of Coupled Fitzhugh-Nagumo Oscillators. CoRR (2010)