Ramneet Kaur

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Mazurkiewicz Traces

Temporally Extended Goals

Massive Open Online Courses

Top Venues

SAFECOMP Workshops

Publications

Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee
Automating Weak Label Generation for Data Programming with Clinicians in the Loop. CoRR (2024)
Yahan Yang, Ramneet Kaur, Souradeep Dutta, Insup Lee
Memory-based Distribution Shift Detection for Learning Enabled Cyber-Physical Systems with Statistical Guarantees. ACM Trans. Cyber Phys. Syst. 8 (2) (2024)
Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee
Automating Weak Label Generation for Data Programming with Clinicians in the Loop. CHASE (2024)
Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Yahan Yang, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems. ICCPS (2023)
Sydney Pugh, Souradeep Dutta, Ramneet Kaur, Yahan Yang, Elena Bernardis, Insup Lee
Automated Labeling Function Generation using Distance Functions for Physiological Alarm Suppression. ICCPS (2023)
Ramneet Kaur, Yiannis Kantaros, Wenwen Si, James Weimer, Insup Lee
Detection of Adversarial Physical Attacks in Time-Series Image Data. CoRR (2023)
Ramneet Kaur, Xiayan Ji, Souradeep Dutta, Michele Caprio, Yahan Yang, Elena Bernardis, Oleg Sokolsky, Insup Lee
Using Semantic Information for Defining and Detecting OOD Inputs. CoRR (2023)
Ramneet Kaur, Deepali Gupta, Mani Madhukar
Learner-Centric Hybrid Filtering-Based Recommender System for Massive Open Online Courses. Int. J. Perform. Eng. 19 (5) (2023)
Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
Predicting Out-of-Distribution Performance of Deep Neural Networks Using Model Conformance. ICAA (2023)
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection. CoRR (2022)
Yahan Yang, Ramneet Kaur, Souradeep Dutta, Insup Lee
Interpretable Detection of Distribution Shifts in Learning Enabled Cyber-Physical Systems. ICCPS (2022)
Kaustubh Sridhar, Souradeep Dutta, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee
Towards Alternative Techniques for Improving Adversarial Robustness: Analysis of Adversarial Training at a Spectrum of Perturbations. CoRR (2022)
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. AAAI (2022)
Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data. CoRR (2022)
Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee
Detecting OODs as datapoints with High Uncertainty. CoRR (2021)
Ramneet Kaur, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs. CoRR (2021)
Ramneet Kaur, Radoslav Ivanov, Matthew Cleaveland, Oleg Sokolsky, Insup Lee
Assurance Case Patterns for Cyber-Physical Systems with Deep Neural Networks. SAFECOMP Workshops (2020)
Teng Zhang, Ramneet Kaur, Insup Lee, Oleg Sokolsky
Runtime Verification of Parametric Properties Using SMEDL. From Reactive Systems to Cyber-Physical Systems (2019)
Nima Roohi, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee
Parameter Invariant Monitoring for Signal Temporal Logic. HSCC (2018)
Nima Roohi, Ramneet Kaur, James Weimer, Oleg Sokolsky, Insup Lee
Self-Driving Vehicle Verification Towards a Benchmark. CoRR (2018)
Ramneet Kaur, Balwinder Singh
Design and Implementation of Car Parking System on FPGA. CoRR (2013)