To Reduce Gross NPA and Classify Defaulters Using Shannon Entropy. - Ambarish Moharil; Nikhil Sonavane; Chirag Kedia; Mansimran Singh Anand (CoRR, 2020)

Between JIRA and GitHub: ASFBot and its Influence on Human Comments in Issue Trackers. - Ambarish Moharil; Dmitrii Orlov; Samar Jameel; Tristan Trouwen; Nathan Cassee; Alexander Serebrenik (MSR, 2022)

Identification of Intra-Domain Ambiguity using Transformer-based Machine Learning. - Ambarish Moharil; Arpit Sharma 002 (NLBSE, 2022)

TABASCO: A transformer based contextualization toolkit. - Ambarish Moharil; Arpit Sharma 002 (Sci. Comput. Program., 2023)

A Scale-Invariant Diagnostic Approach Towards Understanding Dynamics of Deep Neural Networks. - Ambarish Moharil; Damian A. Tamburri; Indika Kumara; Willem-Jan van den Heuvel; Alireza Azarfar (CoRR, 2024)

Towards efficient AutoML: a pipeline synthesis approach leveraging pre-trained transformers for multimodal data. - Ambarish Moharil; Joaquin Vanschoren; Prabhant Singh; Damian A. Tamburri (Mach. Learn., 2024)

Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective. - Ambarish Moharil; Indika Kumara; Damian Andrew Tamburri; Majid Mohammadi 001; Willem-Jan van den Heuvel (CoRR, 2025)