DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup

4 June 2023

Papers citing "DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup"

6 / 6 papers shown

Title
DIMM: Decoupled Multi-hierarchy Kalman Filter for 3D Object Tracking Jirong Zha Yuxuan Fan Kai Li Han Li Chen Gao Xinlei Chen Yong Li 4 0 0 18 May 2025
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems Zhidi Lin Ying Li Feng Yin Juan Maroñas Alexandre Thiéry 54 0 0 24 Mar 2025
From Target Tracking to Targeting Track -- Part II: Regularized Polynomial Trajectory Optimization Tiancheng Li Y. Song Guchong Li Hao Li 46 2 0 22 Feb 2025
Flow-based Bayesian filtering for high-dimensional nonlinear stochastic dynamical systems Xintong Wang Xiaofei Guan Ling Guo Hao Wu BDL 53 0 0 22 Feb 2025
AI-Aided Kalman Filters Nir Shlezinger Guy Revach Anubhab Ghosh S. Chatterjee Shuo Tang Tales Imbiriba J. Duník O. Straka Pau Closas Yonina C. Eldar 77 3 0 16 Oct 2024
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation Itai Nuri Nir Shlezinger 31 0 0 21 Aug 2024