serly93
I'm a PhD student at IMDEA Networks Institute and UC3M. My research is focused on making complex DNN mobile network models, transparent and more reliable.
IMDEA Networks Institute Madrid, Spain
Pinned Repositories
adversarial-MTSR
CDRN-channel-estimation-IRS
Code for our paper 'Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems'.
ChannelEstimation-RIS-MUmmWAVe-MIMO-Systems
TWC: Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems
ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
Deep-Reinforcement-Learning-for-Intelligent-reflecting-Surfaces
Deep_RIS_Tuning_for_Rich_Scattering_Environments
deepChannelLearning4RIS
Channel Estimation for Reconfigurable Intelligent Surface via Deep Learning
Distributed-Compressive-Sensing-A-Deep-Learning-Approach
Distributed Compressive Sensing: A Deep Learning Approach
IRSdiagnosis
MATLAB codes for implementing the diagnostic techniques in "Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems". Original article available at https://ieeexplore.ieee.org/abstract/document/9614042
Numerical-Optimization-Machine-learning
Codes for popular numerical optimization methods and machine learning algorithms
serly93's Repositories
serly93/adversarial-MTSR
serly93/CDRN-channel-estimation-IRS
Code for our paper 'Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems'.
serly93/ChannelEstimation-RIS-MUmmWAVe-MIMO-Systems
TWC: Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User mmWave MIMO Systems
serly93/ChannelNet
Implementation of the paper "Deep Learning-Based Channel Estimation"
serly93/Deep-Reinforcement-Learning-for-Intelligent-reflecting-Surfaces
serly93/Deep_RIS_Tuning_for_Rich_Scattering_Environments
serly93/deepChannelLearning4RIS
Channel Estimation for Reconfigurable Intelligent Surface via Deep Learning
serly93/Distributed-Compressive-Sensing-A-Deep-Learning-Approach
Distributed Compressive Sensing: A Deep Learning Approach
serly93/IRSdiagnosis
MATLAB codes for implementing the diagnostic techniques in "Diagnosis of Intelligent Reflecting Surface in Millimeter-wave Communication Systems". Original article available at https://ieeexplore.ieee.org/abstract/document/9614042
serly93/Numerical-Optimization-Machine-learning
Codes for popular numerical optimization methods and machine learning algorithms
serly93/onsager_deep_learning
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
serly93/partitionshap-multiband-demo
Exploring SHAP on raster datasets or arbitrary number of bands/channels
serly93/RIS_Codes_Collection
A collection contains the codes for RIS(IRS) papers.
serly93/sionna
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
serly93/spl18
Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion
serly93/xai-regression
serly93/zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.