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Dhagash Mehta

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Towards Enhanced Local Explainability of Random Forests: a Proximity-Based Approach

Oct 19, 2023
Joshua Rosaler, Dhruv Desai, Bhaskarjit Sarmah, Dimitrios Vamvourellis, Deran Onay, Dhagash Mehta, Stefano Pasquali

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

Oct 16, 2023
Bhaskarjit Sarmah, Tianjie Zhu, Dhagash Mehta, Stefano Pasquali

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Quantifying Outlierness of Funds from their Categories using Supervised Similarity

Aug 14, 2023
Dhruv Desai, Ashmita Dhiman, Tushar Sharma, Deepika Sharma, Dhagash Mehta, Stefano Pasquali

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Learning Mutual Fund Categorization using Natural Language Processing

Jul 11, 2022
Dimitrios Vamvourellis, Mate Attila Toth, Dhruv Desai, Dhagash Mehta, Stefano Pasquali

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Fund2Vec: Mutual Funds Similarity using Graph Learning

Jun 24, 2021
Vipul Satone, Dhruv Desai, Dhagash Mehta

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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

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Machine Learning Fund Categorizations

May 29, 2020
Dhagash Mehta, Dhruv Desai, Jithin Pradeep

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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

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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

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