2 citations · 2 across the 7 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
quant-ph2025
Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection
Natansh Mathur, Brian Coyle, Nishant Jain +4
Identification of defects or anomalies in 3D objects is a crucial task to ensure correct functionality. In this work, we combine Bayesian learning with recent developments in quant…
cs.LG2025
QuIC: Quantum-Inspired Compound Adapters for Parameter Efficient Fine-Tuning
Snehal Raj, Brian Coyle
Scaling full finetuning of large foundation models strains GPU memory and training time. Parameter Efficient Fine-Tuning (PEFT) methods address this issue via adapter modules which…