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2020 – today
- 2025
[i3]Ambarish Moharil, Indika Kumara, Damian Andrew Tamburri, Majid Mohammadi, Willem-Jan van den Heuvel:
Recursive Self-Similarity in Deep Weight Spaces of Neural Architectures: A Fractal and Coarse Geometry Perspective. CoRR abs/2503.14298 (2025)- 2024
- [j2]Ambarish Moharil, Joaquin Vanschoren
, Prabhant Singh, Damian A. Tamburri:
Towards efficient AutoML: a pipeline synthesis approach leveraging pre-trained transformers for multimodal data. Mach. Learn. 113(9): 7011-7053 (2024) - [i2]Ambarish Moharil, Damian A. Tamburri, Indika Kumara, Willem-Jan van den Heuvel, Alireza Azarfar:
A Scale-Invariant Diagnostic Approach Towards Understanding Dynamics of Deep Neural Networks. CoRR abs/2407.09585 (2024) - 2023
- [j1]Ambarish Moharil, Arpit Sharma:
TABASCO: A transformer based contextualization toolkit. Sci. Comput. Program. 230: 102994 (2023) - 2022
- [c2]Ambarish Moharil, Dmitrii Orlov, Samar Jameel, Tristan Trouwen, Nathan Cassee, Alexander Serebrenik:
Between JIRA and GitHub: ASFBot and its Influence on Human Comments in Issue Trackers. MSR 2022: 112-116 - [c1]Ambarish Moharil, Arpit Sharma:
Identification of Intra-Domain Ambiguity using Transformer-based Machine Learning. NLBSE 2022: 51-58 - 2020
- [i1]Ambarish Moharil, Nikhil Sonavane, Chirag Kedia, Mansimran Singh Anand:
To Reduce Gross NPA and Classify Defaulters Using Shannon Entropy. CoRR abs/2004.14418 (2020)
Coauthor Index
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