| Imprecise Bayesian Neural Networks M Caprio, S Dutta, KJ Jang, V Lin, R Ivanov, O Sokolsky, I Lee arXiv preprint arXiv:2302.09656, 2023 | 15 | 2023 |
| Credal Bayesian deep learning M Caprio, S Dutta, KJ Jang, V Lin, R Ivanov, O Sokolsky, I Lee Transactions on Machine Learning Research, 2024 | 8 | 2024 |
| Distributionally Robust Statistical Verification with Imprecise Neural Networks S Dutta, M Caprio, V Lin, M Cleaveland, KJ Jang, I Ruchkin, O Sokolsky, ... arXiv preprint arXiv:2308.14815, 2023 | 8 | 2023 |
| A Self-Powered and LoRa-Based Fleet Tracker: Demonstrating Improved Reliability in the IoT V Lin, J Dugan, N Sheybani, N Krzysztofowicz, M Miller, H Powell 2020 SoutheastCon, 1-5, 2020 | 5 | 2020 |
| DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models V Lin, K Jin Jang, S Dutta, M Caprio, O Sokolsky, I Lee arXiv preprint arXiv:2302.10341, 2023 | 4 | 2023 |
| Piezoelectric-Based Respiratory Monitoring: Towards Self-Powered Implantables for the Airways LL Ruiz, V Lin, L Fitzgerald, J Zhu, L Borish, D Quinn, J Lach 2021 IEEE 17th International Conference on Wearable and Implantable Body …, 2021 | 4 | 2021 |
| T4V: Exploring Neural Network Architectures that Improve the Scalability of Neural Network Verification V Lin, R Ivanov, J Weimer, O Sokolsky, I Lee Principles of Systems Design: Essays Dedicated to Thomas A. Henzinger on the …, 2022 | 2 | 2022 |
| Development of Oculomics Artificial Intelligence for Cardiovascular Risk Factors: A Case Study in Fundus Oculomics for HbA1c Assessment and Clinically Relevant Considerations … J Ong, KJ Jang, SJ Baek, D Hu, V Lin, S Jang, A Thaler, N Sabbagh, ... Asia-Pacific Journal of Ophthalmology, 100095, 2024 | | 2024 |
| Narrowing the Gap: Towards Analyzable and Realistic Simulators for Safety Analysis of Neural Network Control Systems V Lin, J Weimer, I Lee Workshop on Trustworthy Artificial Intelligence as a part of the ECML/PKDD …, 2022 | | 2022 |
