Stability and Bifurcation Analysis of Coupled Fitzhugh-Nagumo Oscillators. - William Hanan; Dhagash Mehta; Guillaume Moroz; Sepanda Pouryahya (CoRR, 2010)

Certified counting of roots of random univariate polynomials. - Joseph Cleveland; Jeffrey Dzugan; Jonathan D. Hauenstein; Ian Haywood; Dhagash Mehta; Anthony Morse; Leonardo Robol; Taylor Schlenk (CoRR, 2014)

Exploring the impact of wind penetration on power system equilibrium using a numerical continuation approach. - Souvik Chandra; Dhagash Mehta; Aranya Chakrabortty (ACC, 2015)

A collection of challenging optimization problems in science, engineering and economics. - Dhagash Mehta; Crina Grosan (CEC, 2015)

Parallel degree computation for solution space of binomial systems with an application to the master space of $ mathcal{N}=1$ gauge theories. - Tianran Chen; Dhagash Mehta (CoRR, 2015)

An index-resolved fixed-point homotopy and potential energy landscapes. - Tianran Chen; Dhagash Mehta (CoRR, 2015)

On the Network Topology Dependent Solution Count of the Algebraic Load Flow Equations. - Tianran Chen; Dhagash Mehta (CoRR, 2015)

Experiments on the Zeros of Harmonic Polynomials Using Certified Counting. - Jonathan D. Hauenstein; Antonio Lerario; Erik Lundberg; Dhagash Mehta (Exp. Math., 2015)

Introduction to numerical polynomial homotopy continuation methods for the power systems practitioners. - Dhagash Mehta (ACC, 2016)

Recent advances in computational methods for the power flow equations. - Dhagash Mehta; Daniel K. Molzahn; Konstantin S. Turitsyn (ACC, 2016)

Toward topologically based upper bounds on the number of power flow solutions. - Daniel K. Molzahn; Dhagash Mehta; Matthew E. Niemerg (ACC, 2016)

A Network Topology Dependent Upper Bound on the Number of Equilibria of the Kuramoto Model. - Tianran Chen; Dhagash Mehta; Matthew E. Niemerg (CoRR, 2016)

Investigating the Maximum Number of Real Solutions to the Power Flow Equations: Analysis of Lossless Four-Bus Systems. - Daniel K. Molzahn; Matthew E. Niemerg; Dhagash Mehta; Jonathan D. Hauenstein (CoRR, 2016)

Perspective: Energy Landscapes for Machine Learning. - Andrew J. Ballard; Ritankar Das; Stefano Martiniani; Dhagash Mehta; Levent Sagun; Jacob D. Stevenson; David J. Wales (CoRR, 2017)

Locating Power Flow Solution Space Boundaries: A Numerical Polynomial Homotopy Approach. - Souvik Chandra; Dhagash Mehta; Aranya Chakrabortty (CoRR, 2017)

Optimal Configurations in Coverage Control with Polynomial Costs. - Shaunak D. Bopardikar; Dhagash Mehta; Jonathan D. Hauenstein (CoRR, 2018)

The Loss Surface of XOR Artificial Neural Networks. - Dhagash Mehta; Xiaojun Zhao; Edgar A. Bernal; David J. Wales (CoRR, 2018)

Towards Robust Deep Neural Networks. - Timothy E. Wang; Jack Gu; Dhagash Mehta; Xiaojun Zhao; Edgar A. Bernal (CoRR, 2018)

Fixed Points of Belief Propagation - An Analysis via Polynomial Homotopy Continuation. - Christian Knoll 002; Dhagash Mehta; Tianran Chen; Franz Pernkopf (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Counting Equilibria of the Kuramoto Model Using Birationally Invariant Intersection Index. - Tianran Chen; Robert Davis; Dhagash Mehta (SIAM J. Appl. Algebra Geom., 2018)

Three Formulations of the Kuramoto Model as a System of Polynomial Equations. - Tianran Chen; Jakub Marecek; Dhagash Mehta; Matthew E. Niemerg (Allerton, 2019)

Decomposing the Parameter Space of Biological Networks via a Numerical Discriminant Approach. - Heather A. Harrington; Dhagash Mehta; Helen M. Byrne; Jonathan D. Hauenstein (MC, 2019)

Machine learning fund categorizations. - Dhagash Mehta; Dhruv Desai; Jithin Pradeep (ICAIF, 2020)

Investor behavior modeling by analyzing financial advisor notes: a machine learning perspective. - Cynthia Pagliaro; Dhagash Mehta; Han-Tai Shiao; Shaofei Wang; Luwei Xiong (ICAIF, 2021)

Fund2Vec: mutual funds similarity using graph learning. - Vipul Satone; Dhruv Desai; Dhagash Mehta (ICAIF, 2021)

Supervised similarity learning for corporate bonds using Random Forest proximities. - Jerinsh Jeyapaulraj; Dhruv Desai; Dhagash Mehta; Peter Chu 005; Stefano Pasquali; Philip Sommer (ICAIF, 2022)

Learning Mutual Fund Categorization using Natural Language Processing. - Dimitrios Vamvourellis; Máté Tóth; Dhruv Desai; Dhagash Mehta; Stefano Pasquali (ICAIF, 2022)

The Loss Surface of Deep Linear Networks Viewed Through the Algebraic Geometry Lens. - Dhagash Mehta; Tianran Chen; Tingting Tang; Jonathan D. Hauenstein (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Towards reducing hallucination in extracting information from financial reports using Large Language Models. - Bhaskarjit Sarmah; Dhagash Mehta; Stefano Pasquali; Tianjie Zhu (AIMLSystems, 2023)

Quantifying Outlierness of Funds from their Categories using Supervised Similarity. - Dhruv Desai; Ashmita Dhiman; Tushar Sharma; Deepika Sharma; Dhagash Mehta; Stefano Pasquali (ICAIF, 2023)

Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach. - Joshua Rosaler; Dhruv Desai; Bhaskarjit Sarmah; Dimitrios Vamvourellis; Deran Onay; Dhagash Mehta; Stefano Pasquali (CoRR, 2023)

Machine learning the real discriminant locus. - Edgar A. Bernal; Jonathan D. Hauenstein; Dhagash Mehta; Margaret H. Regan; Tingting Tang (J. Symb. Comput., 2023)

Special issue on Algebraic Geometry and Machine Learning. - Jonathan D. Hauenstein; Yang-Hui He; Ilias S. Kotsireas; Dhagash Mehta; Tingting Tang (J. Symb. Comput., 2023)

Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning. - Bhaskarjit Sarmah; Nayana Nair; Riya Jain; Dhagash Mehta; Stefano Pasquali (CIFEr, 2024)

Company Similarity Using Large Language Models. - Dimitrios Vamvourellis; Máté Tóth; Snigdha Bhagat; Dhruv Desai; Dhagash Mehta; Stefano Pasquali (CIFEr, 2024)

Can an unsupervised clustering algorithm reproduce a categorization system? - Nathalia M. Castellanos; Sebastian Frank 004; Dhruv Desai; Stefano Pasquali; Dhagash Mehta (ICAIF, 2024)

Open Set Recognition for Random Forest. - Guanchao Feng; Dhruv Desai; Stefano Pasquali; Dhagash Mehta (ICAIF, 2024)

AI versus AI in Financial Crimes & Detection: GenAI Crime Waves to Co-Evolutionary AI. - Eren Kurshan; Dhagash Mehta; Tucker Balch (ICAIF, 2024)

Quantile Regression using Random Forest Proximities. - Mingshu Li; Bhaskarjit Sarmah; Dhruv Desai; Joshua Rosaler; Snigdha Bhagat; Philip Sommer; Dhagash Mehta (ICAIF, 2024)

Enhanced Local Explainability and Trust Scores with Random Forest Proximities. - Joshua Rosaler; Dhruv Desai; Bhaskarjit Sarmah; Dimitrios Vamvourellis; Deran Onay; Stefano Pasquali; Dhagash Mehta (ICAIF, 2024)

Machine Learning-based Relative Valuation of Municipal Bonds. - Preetha Saha; Jasmine Lyu; Dhruv Desai; Rishab Chauhan; Jerinsh Jeyapaulraj; Peter Chu 005; Philip Sommer; Dhagash Mehta (ICAIF, 2024)

HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction. - Bhaskarjit Sarmah; Dhagash Mehta; Benika Hall; Rohan Rao; Sunil Patel; Stefano Pasquali (ICAIF, 2024)

Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals. - Gregory Yampolsky; Dhruv Desai; Mingshu Li; Stefano Pasquali; Dhagash Mehta (CoRR, 2024)

AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI. - Eren Kurshan; Dhagash Mehta; Bayan Bruss; Tucker Balch (CoRR, 2024)

How to Choose a Threshold for an Evaluation Metric for Large Language Models. - Bhaskarjit Sarmah; Mingshu Li; Jingrao Lyu; Sebastian Frank 004; Nathalia M. Castellanos; Stefano Pasquali; Dhagash Mehta (CoRR, 2024)

A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation. - Bhaskarjit Sarmah; Kriti Dutta; Anna Grigoryan; Sachin Tiwari; Stefano Pasquali; Dhagash Mehta (CoRR, 2024)

FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. - Fengbin Zhu; Yunshan Ma; Fuli Feng; Chao Wang 049; Huanbo Luan; Guangnan Ye; Shuo Zhang 006; Dhagash Mehta; Pingping Chen; Bing Xiang; Tat-Seng Chua (SIGIR, 2025)

Explainable Unsupervised Anomaly Detection with Random Forest. - Joshua S. Harvey; Joshua Rosaler; Mingshu Li; Dhruv Desai; Dhagash Mehta (CoRR, 2025)

Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis. - Dimitris Vamvourellis; Dhagash Mehta (CoRR, 2025)