#kalman filter
9 papers · 1 filter
Kalman Meets Curriculum: Efficient Dynamic Prompt Selection for Adaptive RL Finetuning
Haodong Zhu, Yangyang Ren, Yanjing Li +4
The paper introduces Kalman-Guided Prompt Selection (KGPS), a method that treats prompt difficulty as a dynamic state estimated with a Kalman filter to adaptively choose prompts du…
Dynamical Low-Rank Filters for Data Assimilation
Yoshihito Kazashi, Youssef Marzouk, Fabio Nobile +1
The paper introduces dynamical low-rank (DLR) filters for data assimilation, deriving methods that jointly minimize mean and covariance errors and extending them to Kalman‑Bucy, en…
NMKFR: A Robust Framework for Time-Aware Cold-Start Recommendation
Chengzhi Liu, Ning Zeng, Zehui Qu
The paper introduces NMKFR, a neural framework that fuses semantic text encoding with time-aware Kalman state tracking to improve recommendation of new items under changing tempora…
Adaptive Sampling for Spatiotemporal Anomaly Monitoring in Wireless Sensor Networks
Guoqing Lu, Yixuan Sun, Yiwen Jiang +1
The paper introduces a sentinel‑assisted adaptive sampling framework for wireless sensor networks that combines Kalman‑filter‑driven sparse sensing with sentinel nodes performing G…
Track fitting at the full LHC collision rate
Pierre Billoir, Thomas Boettcher, Michel De Cian +1
The paper describes a fast, GPU‑based implementation of a parameterised Kalman filter for real‑time track fitting at the full 30 MHz LHCb collision rate, improving momentum and mas…
Posterior-Confidence Driven Beamforming for Energy-Efficient Integrated Sensing and Communication
Nusaibah A. Alshorman, Huseyin Arslan
The paper proposes an energy‑efficient MIMO beamforming framework for integrated sensing and communication that activates sensing only when needed, using posterior confidence and n…