Learning Driver Behaviors Using A Gaussian Process Augmented State-Space Model. - Anton Kullberg; Isaac Skog; Gustaf Hendeby (FUSION, 2020)

Learning Motion Patterns in AIS Data and Detecting Anomalous Vessel Behavior. - Anton Kullberg; Isaac Skog; Gustaf Hendeby (FUSION, 2021)

Online Joint State Inference and Learning of Partially Unknown State-Space Models. - Anton Kullberg; Isaac Skog; Gustaf Hendeby (IEEE Trans. Signal Process., 2021)

Iterated Filters for Nonlinear Transition Models. - Anton Kullberg; Isaac Skog; Gustaf Hendeby (FUSION, 2023)

Fast or Cheap: Time and Energy Optimal Control of Ship-to-Shore Cranes. - Filipe Marques Barbosa; Anton Kullberg; Johan Löfberg (CoRR, 2023)

On the Relationship Between Iterated Statistical Linearization and Quasi-Newton Methods. - Anton Kullberg; Martin A. Skoglund; Isaac Skog; Gustaf Hendeby (IEEE Signal Process. Lett., 2023)

Dronar: Obstacle Echolocation Using Drone Ego-Noise. - Henrik Nilsson; Joakim Rydell; Anton Kullberg; Gustaf Hendeby (ICASSP Workshops, 2024)

Adaptive Basis Function Selection for Computationally Efficient Predictions. - Anton Kullberg; Frida Viset; Isaac Skog; Gustaf Hendeby (IEEE Signal Process. Lett., 2024)

Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification. - Magnus Malmström; Anton Kullberg; Isaac Skog; Daniel Axehill; Fredrik Gustafsson (IEEE Signal Process. Lett., 2024)

Exploiting Hankel-Toeplitz Structures for Fast Computation of Kernel Precision Matrices. - Frida Marie Viset; Anton Kullberg; Frederiek Wesel; Arno Solin (Trans. Mach. Learn. Res., 2024)