Vivian Lin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Learning Models

Bayesian Decision

Top Venues

Publications

Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
DC4L: Distribution shift recovery via data-driven control for deep learning models. L4DC (2024)
Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee
Imprecise Bayesian Neural Networks. CoRR (2023)
Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
Take Me Home: Reversing Distribution Shifts using Reinforcement Learning. CoRR (2023)
Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee
Distributionally Robust Statistical Verification with Imprecise Neural Networks. CoRR (2023)
Vivian Lin, Radoslav Ivanov, James Weimer, Oleg Sokolsky, Insup Lee
T4V: Exploring Neural Network Architectures that Improve the Scalability of Neural Network Verification. Principles of Systems Design (2022)
Luis Lopez Ruiz, Vivian Lin, Lucy Fitzgerald, Joe Zhu, Larry Borish, Daniel Quinn, John C. Lach
Piezoelectric-Based Respiratory Monitoring: Towards Self-Powered Implantables for the Airways. BSN (2021)
Sebastian Müller, Angelo Capossele, Bartosz Kusmierz, Vivian Lin, Hans Moog, Andreas Penzkofer, Olivia Saa, William Sanders, Wolfgang Welz
Salt-based autopeering for DLT-networks. CoRR (2021)
Sebastian Müller, Angelo Capossele, Bartosz Kusmierz, Vivian Lin, Hans Moog, Andreas Penzkofer, Olivia Saa, William Sanders, Wolfgang Welz
Salt-based autopeering for DLT-networks. BRAINS (2021)