Samplawski, Colin

6 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

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

CHIL 2024 Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation Hui Wei, Maxwell A Xu, Colin Samplawski, James Matthew Rehg, Santosh Kumar, Benjamin Marlin

UAI 2023 Heteroskedastic Geospatial Tracking with Distributed Camera Networks Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani Srivastava, Benjamin M. Marlin

ECCVW 2022 Uncertainty Quantification Using Query-Based Object Detectors Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin

CVPRW 2020 Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin