GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering

GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering

28 November 2023

Nimrod Leinwand

Papers citing "GSP-KalmanNet: Tracking Graph Signals via Neural-Aided Kalman Filtering"

17 / 17 papers shown

Title
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 75 131 0 05 May 2022
Unsupervised Learned Kalman Filtering Guy Revach Nir Shlezinger Timur Locher Xiaoyong Ni Ruud J. G. van Sloun Yonina C. Eldar SSL 61 31 0 18 Oct 2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space Models Itzik Klein Guy Revach Nir Shlezinger Jonas E. Mehr Ruud J. G. van Sloun Yonina C. Eldar 52 13 0 10 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 68 283 0 21 Jul 2021
Graph Signal Restoration Using Nested Deep Algorithm Unrolling Masatoshi Nagahama Koki Yamada Yuichi Tanaka Stanley H. Chan Yonina C. Eldar 42 20 0 30 Jun 2021
Neural Kalman Filtering Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley 28 21 0 19 Feb 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 208 874 0 27 Jan 2021
Model-Based Deep Learning Nir Shlezinger Jay Whang Yonina C. Eldar A. Dimakis 71 323 0 15 Dec 2020
Graphon Pooling in Graph Neural Networks Alejandro Parada-Mayorga Luana Ruiz Alejandro Ribeiro GNN 39 15 0 03 Mar 2020
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces P. Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao James Taylor Gerhard Neumann BDL 63 97 0 17 May 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,517 0 20 Dec 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 182 287 0 01 May 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 141 1,019 0 07 Dec 2017
Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs Daniel Romero V. Ioannidis G. Giannakis 35 88 0 12 Dec 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 586 12,704 0 11 Dec 2014
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 128 3,974 0 31 Oct 2012
Chebyshev Polynomial Approximation for Distributed Signal Processing D. Shuman P. Vandergheynst P. Frossard 84 154 0 10 May 2011

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