2 papers
eess.SP2026
Conformalized Kalman Filters for State Estimation with Trustworthy Confidence Regions
Olga Weisman, Nir Shlezinger, Bracha Laufer-Goldshtein
Kalman-type filters are widely used for tracking dynamic systems, yet the confidence regions commonly derived from their estimated covariances can become unreliable under nonlinear…
eess.SP2025
Sparsity-Aware Extended Kalman Filter for Tracking Dynamic Graphs
Lital Dabush, Nir Shlezinger, Tirza Routtenberg
A broad range of applications involve signals with irregular structures that can be represented as a graph. As the underlying structures can change over time, the tracking dynamic…