Dhagash Mehta

According to our database, Dhagash Mehta authored at least 45 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

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

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

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Machine Learning-based Relative Valuation of Municipal Bonds.

Preetha Saha, Jasmine Lyu, Dhruv Desai, Rishab Chauhan, Jerinsh Jeyapaulraj, Peter Chu, Philip Sommer, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 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

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Quantile Regression using Random Forest Proximities.

Mingshu Li, Bhaskarjit Sarmah, Dhruv Desai, Joshua Rosaler, Snigdha Bhagat, Philip Sommer, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

AI versus AI in Financial Crimes & Detection: GenAI Crime Waves to Co-Evolutionary AI.

Eren Kurshan, Dhagash Mehta, Tucker Balch

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Open Set Recognition for Random Forest.

Guanchao Feng, Dhruv Desai, Stefano Pasquali, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Can an unsupervised clustering algorithm reproduce a categorization system?

Nathalia M. Castellanos, Sebastian Frank, Dhruv Desai, Stefano Pasquali, Dhagash Mehta

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Company Similarity Using Large Language Models.

Dimitrios Vamvourellis, Máté Tóth, Snigdha Bhagat, Dhruv Desai, Dhagash Mehta, Stefano Pasquali

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2024

Learning Embedded Representation of the Stock Correlation Matrix Using Graph Machine Learning.

Bhaskarjit Sarmah, Nayana Nair, Riya Jain, Dhagash Mehta, Stefano Pasquali

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2024

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., September, 2023

Machine learning the real discriminant locus.

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

J. Symb. Comput., 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

Quantifying Outlierness of Funds from their Categories using Supervised Similarity.

Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Towards reducing hallucination in extracting information from financial reports using Large Language Models.

Bhaskarjit Sarmah, Dhagash Mehta, Stefano Pasquali, Tianjie Zhu

Proceedings of the Third International Conference on AI-ML Systems, 2023

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

Learning Mutual Fund Categorization using Natural Language Processing.

Dimitrios Vamvourellis, Máté Tóth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Supervised similarity learning for corporate bonds using Random Forest proximities.

Jerinsh Jeyapaulraj, Dhruv Desai, Dhagash Mehta, Peter Chu, Stefano Pasquali, Philip Sommer

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

2021

Fund2Vec: mutual funds similarity using graph learning.

Vipul Satone, Dhruv Desai, Dhagash Mehta

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

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

Cynthia Pagliaro, Dhagash Mehta, Han-Tai Shiao, Shaofei Wang, Luwei Xiong

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

Machine learning fund categorizations.

Dhagash Mehta, Dhruv Desai, Jithin Pradeep

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019

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

Heather A. Harrington, Dhagash Mehta, Helen M. Byrne, Jonathan D. Hauenstein

Proceedings of the Maple in Mathematics Education and Research - Third Maple Conference, 2019

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

Tianran Chen, Jakub Marecek, Dhagash Mehta, Matthew E. Niemerg

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Counting Equilibria of the Kuramoto Model Using Birationally Invariant Intersection Index.

Tianran Chen, Robert Davis, Dhagash Mehta

SIAM J. Appl. Algebra Geom., 2018

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

Christian Knoll, Dhagash Mehta, Tianran Chen, Franz Pernkopf

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Towards Robust Deep Neural Networks.

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

CoRR, 2018

The Loss Surface of XOR Artificial Neural Networks.

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

CoRR, 2018

Optimal Configurations in Coverage Control with Polynomial Costs.

Shaunak D. Bopardikar, Dhagash Mehta, Jonathan D. Hauenstein

CoRR, 2018

2017

Locating Power Flow Solution Space Boundaries: A Numerical Polynomial Homotopy Approach.

Souvik Chandra, Dhagash Mehta, Aranya Chakrabortty

CoRR, 2017

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

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

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

Tianran Chen, Dhagash Mehta, Matthew E. Niemerg

CoRR, 2016

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

Daniel K. Molzahn, Dhagash Mehta, Matthew E. Niemerg

Proceedings of the 2016 American Control Conference, 2016

Recent advances in computational methods for the power flow equations.

Dhagash Mehta, Daniel K. Molzahn, Konstantin S. Turitsyn

Proceedings of the 2016 American Control Conference, 2016

Introduction to numerical polynomial homotopy continuation methods for the power systems practitioners.

Dhagash Mehta

Proceedings of the 2016 American Control Conference, 2016

2015

Experiments on the Zeros of Harmonic Polynomials Using Certified Counting.

Jonathan D. Hauenstein, Antonio Lerario, Erik Lundberg, Dhagash Mehta

Exp. Math., 2015

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

Tianran Chen, Dhagash Mehta

CoRR, 2015

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

Tianran Chen, Dhagash Mehta

CoRR, 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

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

Dhagash Mehta, Crina Grosan

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Exploring the impact of wind penetration on power system equilibrium using a numerical continuation approach.

Souvik Chandra, Dhagash Mehta, Aranya Chakrabortty

Proceedings of the American Control Conference, 2015

2014

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

2010

Stability and Bifurcation Analysis of Coupled Fitzhugh-Nagumo Oscillators.

William Hanan, Dhagash Mehta, Guillaume Moroz, Sepanda Pouryahya

CoRR, 2010