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calibrating-bayesian-learning icon calibrating-bayesian-learning

This repository contains the code for Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference.

cell-free-mimo-icl icon cell-free-mimo-icl

Code to reproduce the experiments of "Cell-Free Multi-User MIMO Equalization via In-Context Learning"

channel-prediction-meta-learning icon channel-prediction-meta-learning

Code for the paper "Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition"

dsvgd icon dsvgd

Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent

fl-snn icon fl-snn

Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence

itene icon itene

Code for ITENE: Intrinsic Transfer Entropy Neural Estimator (arXiv version: https://arxiv.org/abs/1912.07277)

meta-autoencoder icon meta-autoencoder

Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"

meta-demodulator icon meta-demodulator

Code for the paper "Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning"

meta-xb icon meta-xb

Code for the paper "Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction"

phase-aware-rt-calibration icon phase-aware-rt-calibration

Code repository for paper "Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates"

quantum-cp icon quantum-cp

Code for the paper "Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning"

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