Publications (7)
Real Time Multi-Object Detection for Helmet Safety
Mrinal Mathur, Archana Benkkallpalli Chandrashekhar, Venkata Krishna Chaithanya Nuthalapati
The National Football League and Amazon Web Services teamed up to develop the best sports injury surveillance and mitigation program via the Kaggle competition. Through which the N…
How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models
Dharshan Kumaran, Stephen M Fleming, Larisa Markeeva +8
Large language models (LLMs) exhibit strikingly conflicting behaviors: they can appear steadfastly overconfident in their initial answers whilst at the same time being prone to exc…
Routing and Placement of Macros using Deep Reinforcement Learning
Mrinal Mathur
Chip placement has been one of the most time consuming task in any semi conductor area, Due to this negligence, many projects are pushed and chips availability in real markets get…
Pipeline-Invariant Representation Learning for Neuroimaging
Xinhui Li, Alex Fedorov, Mrinal Mathur +4
Deep learning has been widely applied in neuroimaging, including predicting brain-phenotype relationships from magnetic resonance imaging (MRI) volumes. MRI data usually requires e…
Change of Thought: Adaptive Test-Time Computation
Mrinal Mathur, Mike Doan, Barak Pearlmutter +1
Transformers evaluated in a single, fixed-depth pass are provably limited in expressive power to the constant-depth circuit class TC0. Running a Transformer autoregressively remove…
Multilingual State Space Models for Structured Question Answering in Indic Languages
Arpita Vats, Rahul Raja, Mrinal Mathur +2
The diversity and complexity of Indic languages present unique challenges for natural language processing (NLP) tasks, particularly in the domain of question answering (QA).To addr…