| Efficient Reconstruction of Granger-Causal Networks in Linear Multivariable Dynamical Processes S Kathari, AK Tangirala Industrial & Engineering Chemistry Research 58 (26), 11275-11294, 2019 | 12 | 2019 |
| Reinforcement learning based dynamic weighing of ensemble models for time series forecasting SK Perepu, BS Balaji, HK Tanneru, S Kathari, VS Pinnamaraju arXiv preprint arXiv:2008.08878, 2020 | 6 | 2020 |
| Scalar correlation functions for model structure selection in high-dimensional time-series modelling S Kathari, AK Tangirala ISA transactions 100, 275-288, 2020 | 6 | 2020 |
| A novel framework for causality analysis of deterministic dynamical processes S Kathari, AK Tangirala Industrial & Engineering Chemistry Research 61 (50), 18426-18444, 2022 | 4 | 2022 |
| Dynamic selection of weights of ensemble models using reinforcement learning for time-series forecasting SK Perepu, BS Balaji, HK Tanneru, S Kathari, VS Pinnamaraju Advances in Information and Communication: Proceedings of the 2021 Future of …, 2021 | 3 | 2021 |
| A novel causality method for reconstruction of process topology in multivariable LTI dynamical systems S Kathari, AK Tangirala 2019 58th Annual Conference of the Society of Instrument and Control …, 2019 | 3 | 2019 |
| Estimation of network connectivity strengths in linear causal dynamic systems S Kathari, AK Tangirala IFAC-PapersOnLine 49 (1), 77-82, 2016 | 1 | 2016 |
| Supporting Information: Efficient Reconstruction of Granger-Causal Networks in Linear Multivariable Dynamical Processes S Kathari, AK Tangirala | | 2019 |
| Sparse Vector Auto-Regressive Modelling for Reconstruction of Causal Networks: A Critical Study S Kathari, AK Tangirala 67th Canadian Chemical Engineering Conference, Edmonton, Canada, 2017 | | 2017 |
| Reconstruction of Weighted Causal Networks in Multivariate Processes S Kathari, AK Tangirla Workshop on Research Activities of ILDS, IIT Madras, 2016 | | 2016 |
Arun K. TangiralaIIT MadrasVerified email at iitm.ac.in
