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2020 – today
- 2024
[c4]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: 1526-1538- 2023
- [i4]Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee:
Imprecise Bayesian Neural Networks. CoRR abs/2302.09656 (2023) - [i3]Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio
, Oleg Sokolsky, Insup Lee:
Take Me Home: Reversing Distribution Shifts using Reinforcement Learning. CoRR abs/2302.10341 (2023) - [i2]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 abs/2308.14815 (2023) - 2022
- [c3]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: 585-603 - 2021
- [c2]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: 165-169 - [c1]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: 1-5 - [i1]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 abs/2111.02055 (2021)
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