Kaur, Ramneet

4 publications

UAI 2025 Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference Colin Samplawski, Adam D. Cobb, Manoj Acharya, Ramneet Kaur, Susmit Jha

WACV 2025 Zero-Shot Detection of Out-of-Context Objects Using Foundation Models Anirban Roy, Adam Cobb, Ramneet Kaur, Sumit Jha, Nathaniel Bastian, Alexander Berenbeim, Robert Thomson, Iain Cruickshank, Alvaro Velasquez, Susmit Jha

NeurIPSW 2024 Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy, Brian Matejek, Manoj Acharya, Daniel Elenius, Alexander Michael Berenbeim, John A. Pavlik, Nathaniel D. Bastian, Susmit Jha

AAAI 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee