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ORCIDVignesh Sivaramakrishnan
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2020 – today
- 2024
[j2]Vignesh Sivaramakrishnan
, Abraham P. Vinod, Meeko M. K. Oishi:
Convexified Open-Loop Stochastic Optimal Control for Linear Systems With Log-Concave Disturbances. IEEE Trans. Autom. Control. 69(2): 1249-1256 (2024)- [i6]Vignesh Sivaramakrishnan, Rosalyn A. Devonport, Murat Arcak, Meeko M. K. Oishi:
Forward Reachability for Discrete-Time Nonlinear Stochastic Systems via Mixed-Monotonicity and Stochastic Order. CoRR abs/2407.03984 (2024) - [i5]Vignesh Sivaramakrishnan, Krishna Chaitanya Kalagarla, Rosalyn A. Devonport, Joshua Pilipovsky, Panagiotis Tsiotras, Meeko Oishi:
SAVER: A Toolbox for Sampling-Based, Probabilistic Verification of Neural Networks. CoRR abs/2412.02940 (2024) - 2023
- [c8]Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko Oishi, Panagiotis Tsiotras:
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. L4DC 2023: 966-979 - [i4]Karthik Sivaramakrishnan, Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Stochastic Reachability of Discrete-Time Stochastic Systems via Probability Measures. CoRR abs/2304.00598 (2023) - 2022
- [c7]Vignesh Sivaramakrishnan, Joshua Pilipovsky, Meeko Oishi, Panagiotis Tsiotras:
Distribution Steering for Discrete-Time Linear Systems with General Disturbances using Characteristic Functions. ACC 2022: 4183-4190 - [i3]Joshua Pilipovsky, Vignesh Sivaramakrishnan, Meeko M. K. Oishi, Panagiotis Tsiotras:
Probabilistic Verification of ReLU Neural Networks via Characteristic Functions. CoRR abs/2212.01544 (2022) - 2021
- [c6]Adam J. Thorpe, Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Approximate Stochastic Reachability for High Dimensional Systems. ACC 2021: 1287-1293 - [c5]Shawn Priore, Abraham P. Vinod, Vignesh Sivaramakrishnan, Christopher Petersen, Meeko Oishi:
Stochastic multi-satellite maneuvering with constraints in an elliptical orbit. ACC 2021: 4261-4268 - 2020
- [j1]Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Fast, Convexified Stochastic Optimal Open-Loop Control for Linear Systems Using Empirical Characteristic Functions. IEEE Control. Syst. Lett. 4(4): 1048-1053 (2020) - [i2]Vignesh Sivaramakrishnan, Abraham P. Vinod, Meeko M. K. Oishi:
Convexified Open-Loop Stochastic Optimal Control for Linear Non-Gaussian Systems. CoRR abs/2010.02101 (2020)
2010 – 2019
- 2019
- [c4]Abraham P. Vinod, Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Piecewise-Affine Approximation-Based Stochastic Optimal Control with Gaussian Joint Chance Constraints. ACC 2019: 2942-2949 - [c3]Vignesh Sivaramakrishnan, Omanshu Thapliyal, Abraham P. Vinod, Meeko Oishi, Inseok Hwang:
Predicting Mode Confusion Through Mixed Integer Linear Programming. CDC 2019: 2442-2448 - [c2]Abraham P. Vinod, Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Sampling-free enforcement of non-gaussian chance constraints via fourier transforms. SNR 2019: 9-11 - [i1]Adam J. Thorpe, Vignesh Sivaramakrishnan, Meeko M. K. Oishi:
Stochastic Reachability for Systems up to a Million Dimensions. CoRR abs/1910.10818 (2019) - 2018
- [c1]Alessandro Abate, Henk A. P. Blom, Nathalie Cauchi, Sofie Haesaert, Arnd Hartmanns, Kendra Lesser, Meeko Oishi, Vignesh Sivaramakrishnan, Sadegh Soudjani, Cristian Ioan Vasile, Abraham P. Vinod:
ARCH-COMP18 Category Report: Stochastic Modelling. ARCH@ADHS 2018: 71-103
Coauthor Index
aka: Meeko Oishi
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