SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning,
2026,
4th Workshop on High-dimensional Learning Dynamics (HiLD) @ ICML 2026
Omanshu Thapliyal
A Multi-Head Attention Approach for SLA Compliance Monitoring in Data Centers,
2026,
46th IEEE International Conference on Distributed Computing Systems
Omanshu Thapliyal
Safe Navigation using Neural Radiance Fields via Reachable Sets,
2026,
4th International Conference on Mechatronics, Control and Robotics 2026
Omanshu Thapliyal
,
Malarvizhi Sankaranarayanasamy
,
Ravigopal Vennelakanti
An Algorithm for Distributed Computation of Reachable Sets for Multi-Agent Systems,
2025,
American Control Conference 2025
Omanshu Thapliyal
,
Shanelle G Clarke
,
Inseok Hwang
Embedding Safety Requirements into Learning-Based Controllers for Urban Air Mobility Applications,
2024,
AIAA SciTech 2024 Forum
Omanshu Thapliyal
,
Malarvizhi Sankaranarayanasamy
,
Ravigopal Vennelakanti
Colocation Datacenter Customer Power Usage Forecasting Using Synthetic Data and Integration of Macroeconomic Indicators,
2023,
IEEE International Conference on Big Data 2023
Neda Zarayeneh
,
Malarvizhi Sankaranarayanasamy
,
Pegah Mavaie
,
Omanshu Thapliyal
,
Prasun Singh
,
Ravigopal Vennelakanti
Distributed Denial-of-Service Resilient Control for Urban Air Mobility Applications,
2023,
Journal of Aerospace Information Systems
Shanelle G Clarke
,
Sounghwan Hwang
,
Omanshu Thapliyal
,
Inseok Hwang
Data-driven Cyberattack Synthesis against Network Control Systems,
2023,
International Federation for Automatic Control (IFAC) World Congress 2023
Omanshu Thapliyal
,
Inseok Hwang
Attack-resilient distributed optimization-based control of multi-agent systems with dual interaction networks,
2022,
AIAA SciTech 2022 Forum
Shanelle G Clarke
,
Omanshu Thapliyal
,
Sounghwan Hwang
,
Inseok Hwang
Provably Stabilizing Model-Free Q-Learning for Unknown Bilinear Systems,
2022,
arXiv Preprint
Shanelle G Clarke
,
Omanshu Thapliyal
,
Inseok Hwang
Approximate reachability for Koopman systems using mixed monotonicity,
2022,
IEEE Access
Omanshu Thapliyal
,
Inseok Hwang
Distributed Fast-Tracking Alternating Direction Method of Multipliers (ADMM) Algorithm with Optimal Convergence Rate,
2021,
IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Shreyansh Shethia
,
Akshita Gupta
,
Omanshu Thapliyal
,
Inseok Hwang
Learning Based Cyberattack Design and Defense for Supervisory Control Systems,
2021,
European Control Conference (ECC) 2021
Omanshu Thapliyal
,
Inseok Hwang
Path Planning for a Network of Robots with Distributed Multi-Objective Linear Programming,
2021,
American Control Conference (ACC) 2021
Omanshu Thapliyal
,
Inseok Hwang
Predicting Mode Confusion Through Mixed Integer Linear Programming,
2019,
IEEE 58th Conference on Decision and Control (CDC) 2019
Vignesh Sivaramakrishnan
,
Omanshu Thapliyal
,
Abraham Vinod
,
Meeko Oishi
,
Inseok Hwang
Kalman filtering with state‐dependent packet losses,
2019,
IET Control Theory & Applications
Omanshu Thapliyal
,
Suraj Jayaprakash Nandiganahalli
,
Inseok Hwang
Distributed state estimation for a stochastic linear hybrid system over a sensor network,
2018,
IET Control Theory & Applications
Raj Deshmukh
,
Omanshu Thapliyal
,
Cheolhyeon Kwon
,
Inseok Hwang
Optimal state estimation for LTI systems with imperfect observations,
2017,
IEEE 56th Annual Conference on Decision and Control (CDC)
Omanshu Thapliyal
,
Suraj Jayaprakash Nandiganahalli
,
Inseok Hwang