| Benchmarks and algorithms for offline preference-based reward learning D Shin, AD Dragan, DS Brown Transactions on Machine Learning Research (TMLR), 2023 | 90 | 2023 |
| Offline preference-based apprenticeship learning D Shin, DS Brown, AD Dragan arXiv preprint arXiv:2107.09251, 2021 | 27 | 2021 |
| Hybrid imitative planning with geometric and predictive costs in off-road environments N Dashora, D Shin, D Shah, H Leopold, D Fan, A Agha-Mohammadi, ... 2022 International Conference on Robotics and Automation (ICRA), 4452-4458, 2022 | 17 | 2022 |
| The Optimization Paradox in Clinical AI Multi-Agent Systems S Bedi, I Mlauzi, D Shin, S Koyejo, NH Shah Agentic & GenAI Evaluation KDD 2025 Workshop (oral), 2025 | 5 | 2025 |
| Optimizing Learning Across Multimodal Transfer Features for Modelling Olfactory Perception D Shin, G Pei, P Kumari, TR Besold Multimodal KDD 2023: International Workshop on Multimodal Learning, 2024 | 5 | 2024 |
| Apparatuses for predicting and using olfactory profiles TR Besold, P Kumari, D Shin US Patent App. 18/494,546, 2025 | | 2025 |
