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Jin W. Kim
Jin W. Kim
Post-doc researcher, University of Potsdam
Verified email at uni-potsdam.de
Title
Cited by
Cited by
Year
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
172019
An optimal control derivation of nonlinear smoothing equations
JW Kim, PG Mehta
Advances in Dynamics, Optimization and Computation: A volume dedicated to …, 2020
142020
How regularization affects the critical points in linear networks
A Taghvaei, JW Kim, P Mehta
Advances in neural information processing systems 30, 2017
122017
Duality for nonlinear filtering
JW Kim
arXiv preprint arXiv:2207.07709, 2022
102022
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
92021
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
82021
A dual characterization of observability for stochastic systems
JW Kim, PG Mehta
IFAC-PapersOnLine 54 (9), 659-664, 2021
72021
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
52018
A dynamic programming formulation for the nonlinear filter
JW Kim, PG Mehta
2021 Seventh Indian Control Conference (ICC), 313-316, 2021
12021
An approach to duality in nonlinear filtering
JW Kim, A Taghvaei, PG Mehta, SP Meyn
2019 American Control Conference (ACC), 5360-5365, 2019
12019
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Articles 1–10