Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear
Filters and Equilibrium Propagation

Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation

1 October 2021

Sangwoo Park

Osvaldo Simeone

Papers citing "Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation"

6 / 6 papers shown

Title
Energy-based learning algorithms for analog computing: a comparative study B. Scellier M. Ernoult Jack D. Kendall Suhas Kumar 25 26 0 22 Dec 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 44 25 0 01 Aug 2023
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition Sangwoo Park Osvaldo Simeone 29 4 0 23 Mar 2022
Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems Mate Boban M. Giordani M. Zorzi 24 7 0 20 Sep 2021
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning Sangwoo Park Osvaldo Simeone Joonhyuk Kang 39 42 0 03 Mar 2020
Deep HyperNetwork-Based MIMO Detection Mathieu Goutay Fayçal Ait Aoudia J. Hoydis 34 54 0 07 Feb 2020