Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification. - Colin Samplawski; Heesung Kwon; Erik G. Learned-Miller; Benjamin M. Marlin (CoRR, 2019)

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

CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. - Jin Huang; Colin Samplawski; Deepak Ganesan; Benjamin M. Marlin; Heesung Kwon (MobiCom, 2020)

Towards Objection Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression. - Colin Samplawski; Jin Huang; Deepak Ganesan; Benjamin M. Marlin (AIChallengeIoT@SenSys, 2020)

Learning Graph-Based Priors for Generalized Zero-Shot Learning. - Colin Samplawski; Jannik Wolff; Tassilo Klein; Moin Nabi (CoRR, 2020)

Optimizing Intelligent Edge-clouds with Partitioning, Compression and Speculative Inference. - Shiwei Fang; Jin Huang; Colin Samplawski; Deepak Ganesan; Benjamin M. Marlin; Tarek F. Abdelzaher; Maggie B. Wigness (MILCOM, 2021)

Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs. - Jinyang Li 004; Runyu Ma; Vikram Sharma Mailthody; Colin Samplawski; Benjamin M. Marlin; Songqing Chen; Shuochao Yao; Tarek F. Abdelzaher (MILCOM, 2021)

Towards Transformer-Based Real-Time Object Detection at the Edge: A Benchmarking Study. - Colin Samplawski; Benjamin M. Marlin (MILCOM, 2021)

Uncertainty Quantification Using Query-Based Object Detectors. - Meet P. Vadera; Colin Samplawski; Benjamin M. Marlin (ECCV Workshops (8), 2022)

IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research. - Benjamin M. Marlin; Niranjan Suri; Shiwei Fang; Mani B. Srivastava; Colin Samplawski; Ziqi Wang 001; Maggie B. Wigness (MILCOM, 2023)

Heteroskedastic Geospatial Tracking with Distributed Camera Networks. - Colin Samplawski; Shiwei Fang; Ziqi Wang 001; Deepak Ganesan; Mani B. Srivastava; Benjamin M. Marlin (UAI, 2023)

Temporally Multi-Scale Sparse Self-Attention for Physical Activity Data Imputation. - Hui Wei; Maxwell A. Xu; Colin Samplawski; James Matthew Rehg; Santosh Kumar 001; Benjamin M. Marlin (CHIL, 2024)

FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors. - Jason Wu; Ziqi Wang 001; Xiaomin Ouyang; Ho Lyun Jeong; Colin Samplawski; Lance M. Kaplan; Benjamin M. Marlin; Mani Srivastava 001 (IROS, 2024)

GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors. - Ho Lyun Jeong; Ziqi Wang 001; Colin Samplawski; Jason Wu; Shiwei Fang; Lance M. Kaplan; Deepak Ganesan; Benjamin M. Marlin; Mani Srivastava 001 (CoRR, 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 M. Berenbeim; John A. Pavlik; Nathaniel D. Bastian; Susmit Jha (CoRR, 2024)

GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors. - Ho Lyun Jeong; Ziqi Wang 001; Colin Samplawski; Jason Wu; Shiwei Fang; Lance M. Kaplan; Deepak Ganesan; Benjamin M. Marlin; Mani Srivastava 001 (IEEE DataPort, 2024)

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 (UAI, 2025)

AGENT: An Aerial Vehicle Generation and Design Tool Using Large Language Models. - Colin Samplawski; Adam D. Cobb; Susmit Jha (CoRR, 2025)

Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding. - Trilok Padhi; Ramneet Kaur; Adam D. Cobb; Manoj Acharya; Anirban Roy; Colin Samplawski; Brian Matejek; Alexander M. Berenbeim; Nathaniel D. Bastian; Susmit Jha (CoRR, 2025)