Vivian Lin - RankMe

16 papers C 1Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Distributionally Robust Statistical Verification with Imprecise Neural Networks. HSCC Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee
2025	—	`conf`	Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems. ICCPS Vivian Lin, Insup Lee
2025	J	`jnl`	Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems. CoRR Vivian Lin, Insup Lee
2025	J	`jnl`	Pattern-Guided Diffusion Models. CoRR Vivian Lin, Kuk Jin Jang, Wenwen Si, Insup Lee
2025	—	`conf`	Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control. MICCAI (15) Wenwen Si, Vivian Lin, Bo Sun, Kuk Jin Jang, Rubo Xing, Almiqdad Saeed, Rina Nagatani, Oleg Sokolsky, Insup Lee, Lama Al-Aswad
2025	—	`conf`	Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios. ICCPS Vivian Lin, Ramneet Kaur, Yahan Yang, Souradeep Dutta, Yiannis Kantaros, Anirban Roy, Susmit Jha, Oleg Sokolsky, Insup Lee
2025	J	`jnl`	Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios. CoRR Vivian Lin, Ramneet Kaur, Yahan Yang, Souradeep Dutta, Yiannis Kantaros, Anirban Roy, Susmit Jha, Oleg Sokolsky, Insup Lee
2024	J	`jnl`	Credal Bayesian Deep Learning. Trans. Mach. Learn. Res. Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee
2024	—	`conf`	DC4L: Distribution shift recovery via data-driven control for deep learning models. L4DC Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
2023	J	`jnl`	Distributionally Robust Statistical Verification with Imprecise Neural Networks. CoRR Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee
2023	J	`jnl`	Imprecise Bayesian Neural Networks. CoRR Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee
2023	J	`jnl`	Take Me Home: Reversing Distribution Shifts using Reinforcement Learning. CoRR Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
2022	—	`conf`	T4V: Exploring Neural Network Architectures that Improve the Scalability of Neural Network Verification. Principles of Systems Design Vivian Lin, Radoslav Ivanov, James Weimer, Oleg Sokolsky, Insup Lee
2021	C	`conf`	Piezoelectric-Based Respiratory Monitoring: Towards Self-Powered Implantables for the Airways. BSN Luis Lopez Ruiz, Vivian Lin, Lucy Fitzgerald, Joe Zhu, Larry Borish, Daniel Quinn, John C. Lach
2021	—	`conf`	Salt-based autopeering for DLT-networks. BRAINS Sebastian Müller, Angelo Capossele, Bartosz Kusmierz, Vivian Lin, Hans Moog, Andreas Penzkofer, Olivia Saa, William Sanders, Wolfgang Welz
2021	J	`jnl`	Salt-based autopeering for DLT-networks. CoRR Sebastian Müller, Angelo Capossele, Bartosz Kusmierz, Vivian Lin, Hans Moog, Andreas Penzkofer, Olivia Saa, William Sanders, Wolfgang Welz