| What is the Lagrangian for nonlinear filtering? JW Kim, PG Mehta, SP Meyn 2019 IEEE 58th Conference on Decision and Control (CDC), 1607-1614, 2019 | 23 | 2019 |
| Duality for nonlinear filtering I: Observability JW Kim, PG Mehta IEEE Transactions on Automatic Control 69 (2), 699-711, 2023 | 18 | 2023 |
| Duality for nonlinear filtering II: Optimal control JW Kim, PG Mehta IEEE Transactions on Automatic Control 69 (2), 712-725, 2023 | 18 | 2023 |
| Duality for nonlinear filtering JW Kim arXiv preprint arXiv:2207.07709, 2022 | 16 | 2022 |
| An optimal control derivation of nonlinear smoothing equations JW Kim, PG Mehta Advances in Dynamics, Optimization and Computation: A volume dedicated to …, 2020 | 16 | 2020 |
| How regularization affects the critical points in linear networks A Taghvaei, JW Kim, P Mehta Advances in neural information processing systems 30, 2017 | 15 | 2017 |
| A dual characterization of the stability of the Wonham filter JW Kim, PG Mehta 2021 60th IEEE Conference on Decision and Control (CDC), 1621-1628, 2021 | 14 | 2021 |
| The conditional Poincaré inequality for filter stability JW Kim, PG Mehta, S Meyn 2021 60th IEEE Conference on Decision and Control (CDC), 1629-1636, 2021 | 13 | 2021 |
| A dual characterization of observability for stochastic systems JW Kim, PG Mehta IFAC-PapersOnLine 54 (9), 659-664, 2021 | 10 | 2021 |
| Variance decay property for filter stability JW Kim, PG Mehta IEEE Transactions on Automatic Control 69 (12), 8140-8155, 2024 | 7 | 2024 |
| Feedback particle filter for collective inference JW Kim, A Taghvaei, Y Chen, PG Mehta arXiv preprint arXiv:2010.06655, 2020 | 6 | 2020 |
| Derivation and extensions of the linear feedback particle filter based on duality formalisms JW Kim, A Taghvaei, PG Mehta 2018 IEEE Conference on Decision and Control (CDC), 7188-7193, 2018 | 6 | 2018 |
| The arrow of time in estimation and control: Duality theory beyond the linear Gaussian model JW Kim, PG Mehta IEEE Control Systems 45 (2), 70-90, 2025 | 2 | 2025 |
| On forward-backward SDE approaches to continuous-time minimum variance estimation JW Kim, S Reich arXiv preprint arXiv:2304.12727, 2023 | 2 | 2023 |
| Backward map for filter stability analysis JW Kim, AA Joshi, PG Mehta 2024 IEEE 63rd Conference on Decision and Control (CDC), 4070-4077, 2024 | 1 | 2024 |
| A dynamic programming formulation for the nonlinear filter JW Kim, PG Mehta 2021 Seventh Indian Control Conference (ICC), 313-316, 2021 | 1 | 2021 |
| An approach to duality in nonlinear filtering JW Kim, A Taghvaei, PG Mehta, SP Meyn 2019 American Control Conference (ACC), 5360-5365, 2019 | 1 | 2019 |
| Divergence metrics in the study of Markov and hidden Markov processes JW Kim, A Taghvaei, PG Mehta arXiv preprint arXiv:2404.15779, 2024 | | 2024 |
Prashant MehtaProfessor of Mechanical Science and Engineering, University of IllinoisVerified email at illinois.edu
