| 2026 | AAAI | 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 |
| 2025 | FUSION | End-to-End Differentiable Multi-View Tracking: Architecture and Fine-Tuning Experiments. | Colin Samplawski, Shiwei Fang, Benjamin M. Marlin |
| 2025 | UAI | 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 |
| 2024 | IROS | 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 |
| 2023 | UAI | Heteroskedastic Geospatial Tracking with Distributed Camera Networks. | Colin Samplawski, Shiwei Fang, Ziqi Wang, Deepak Ganesan, Mani B. Srivastava, Benjamin M. Marlin |
| 2022 | ECCV | Uncertainty Quantification Using Query-Based Object Detectors. | Meet P. Vadera, Colin Samplawski, Benjamin M. Marlin |
| 2020 | CVPR | Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels. | Colin Samplawski, Erik G. Learned-Miller, Heesung Kwon, Benjamin M. Marlin |
| 2020 | MOBICOM | CLIO: enabling automatic compilation of deep learning pipelines across IoT and cloud. | Jin Huang, Colin Samplawski, Deepak Ganesan, Benjamin M. Marlin, Heesung Kwon |
| 2020 | SENSYS | Towards Objection Detection Under IoT Resource Constraints: Combining Partitioning, Slicing and Compression. | Colin Samplawski, Jin Huang, Deepak Ganesan, Benjamin M. Marlin |