Colin Samplawski

According to our database, Colin Samplawski authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMs.

Krishiv Agarwal, Ramneet Kaur, Colin Samplawski, Manoj Acharya, Anirban Roy, Daniel Elenius, Brian Matejek, Adam D. Cobb, Susmit Jha

CoRR, April, 2026

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents.

Trilok Padhi, Ramneet Kaur, Krishiv Agarwal, Adam D. Cobb, Daniel Elenius, Manoj Acharya, Colin Samplawski, Alexander M. Berenbeim, Nathaniel D. Bastian, Susmit Jha, Anirban Roy

CoRR, April, 2026

Do Diffusion Models Dream of Electric Planes? Discrete and Continuous Simulation-Based Inference for Aircraft Design.

Aurelien Ghiglino, Daniel Elenius, Anirban Roy, Ramneet Kaur, Manoj Acharya, Colin Samplawski, Brian Matejek, Susmit Jha, Juan Alonso, Adam D. Cobb

CoRR, March, 2026

Privacy Preserving In-Context-Learning Framework for Large Language Models.

Bishnu Bhusal, Manoj Acharya, Ramneet Kaur, Colin Samplawski, Anirban Roy, Adam D. Cobb, Rohit Chadha, Susmit Jha

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Privacy-Aware In-Context Learning for Large Language Models.

Bishnu Bhusal, Manoj Acharya, Ramneet Kaur, Colin Samplawski, Anirban Roy, Adam D. Cobb, Rohit Chadha, Susmit Jha

CoRR, September, 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, May, 2025

AGENT: An Aerial Vehicle Generation and Design Tool Using Large Language Models.

Colin Samplawski, Adam D. Cobb, Susmit Jha

CoRR, April, 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

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments.

Colin Samplawski, Shiwei Fang, Benjamin M. Marlin

Proceedings of the 28th International Conference on Information Fusion, 2025

2024

GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors.

Ho Lyun Jeong, Ziqi Wang, Colin Samplawski, Jason Wu, Shiwei Fang, Lance M. Kaplan, Deepak Ganesan, Benjamin M. Marlin, Mani Srivastava

Dataset, October, 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, Colin Samplawski, Jason Wu, Shiwei Fang, Lance M. Kaplan, Deepak Ganesan, Benjamin M. Marlin, Mani Srivastava

CoRR, 2024

FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors.

Jason Wu, Ziqi Wang, Xiaomin Ouyang, Ho Lyun Jeong, Colin Samplawski, Lance M. Kaplan, Benjamin M. Marlin, Mani Srivastava

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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 M. Marlin

Proceedings of the Conference on Health, 2024

2023

Heteroskedastic Geospatial Tracking with Distributed Camera Networks.

Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin

Proceedings of the Uncertainty in Artificial Intelligence, 2023

IoBT-MAX: a Multimodal Analytics eXperimentation Testbed for IoBT Research.

Benjamin M. Marlin, Niranjan Suri, Shiwei Fang, Mani B. Srivastava, Colin Samplawski, Ziqi Wang, Maggie B. Wigness

Proceedings of the IEEE Military Communications Conference, 2023

2022

Uncertainty Quantification Using Query-Based Object Detectors.

Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Towards Transformer-Based Real-Time Object Detection at the Edge: A Benchmarking Study.

Colin Samplawski, Benjamin M. Marlin

Proceedings of the 2021 IEEE Military Communications Conference, 2021

Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs.

Jinyang Li, Runyu Ma, Vikram Sharma Mailthody, Colin Samplawski, Benjamin M. Marlin, Songqing Chen, Shuochao Yao, Tarek F. Abdelzaher

Proceedings of the 2021 IEEE Military Communications Conference, 2021

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

Proceedings of the 2021 IEEE Military Communications Conference, 2021

2020

Learning Graph-Based Priors for Generalized Zero-Shot Learning.

Colin Samplawski, Jannik Wolff, Tassilo Klein, Moin Nabi

CoRR, 2020

Towards Objection Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression.

Colin Samplawski, Jin Huang, Deepak Ganesan, Benjamin M. Marlin

Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud.

Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Heesung Kwon

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels.

Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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