Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction

18 November 2024

Papers citing "Hybrid Data-Driven SSM for Interpretable and Label-Free mmWave Channel Prediction"

9 / 9 papers shown

Title
Unsupervised Learning of Sampling Distributions for Particle Filters Fernando Gama Nicolas Zilberstein Martín Sevilla Richard Baraniuk Santiago Segarra 91 10 0 02 Feb 2023
Unsupervised Learned Kalman Filtering Guy Revach Nir Shlezinger Timur Locher Xiaoyong Ni Ruud J. G. van Sloun Yonina C. Eldar SSL 83 32 0 18 Oct 2021
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics Guy Revach Nir Shlezinger Xiaoyong Ni Adrià López Escoriza Ruud J. G. van Sloun Yonina C. Eldar 100 288 0 21 Jul 2021
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 115 326 0 15 Dec 2020
Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning Hwanjin Kim Sucheol Kim Hyeongtaek Lee Chulhee Jang Yongyun Choi Junil Choi 41 108 0 21 Sep 2020
Exploiting Wireless Channel State Information Structures Beyond Linear Correlations: A Deep Learning Approach Zhiyuan Jiang Sheng Chen A. Molisch R. Vannithamby Sheng Zhou Z. Niu 28 37 0 03 Dec 2018
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.2K 150,501 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 612 12,760 0 11 Dec 2014
Variational Gaussian Process State-Space Models R. Frigola Yutian Chen C. Rasmussen BDL 83 179 0 18 Jun 2014