kclip

bayesian-snn

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

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

FL-SNN

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

ITENE

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

meta-autoencoder

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

meta-autoencoder-without-channel-model

Code for the paper "End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning"

meta-demodulator

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

quantum-CP

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

snn

Code for training binary and WTA SNNs

kclip/meta-demodulator

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

kclip/snn

Code for training binary and WTA SNNs

kclip/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"

kclip/quantum-CP

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

kclip/bayesian-snn

kclip/NeuroJSCC

kclip/Privacy4Free_DPWFL

kclip/scalar-channel-meta-prediction

Code for the paper "Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation"

kclip/lava-decolle

kclip/phase-aware-rt-calibration

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

kclip/Cell-free-MIMO-ICL

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

kclip/Epistemic-Uncertainty-AISTATS2022

Code for the paper "Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning"

kclip/neurodata

kclip/bayesian-dt

kclip/ICL-Equalization

kclip/meta-XB

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

kclip/WFLMC

Code for Paper: D. Liu and O. Simeone, "Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy", [Arxiv: https://arxiv.org/pdf/2108.07644.pdf]

kclip/BayesBiSNN

kclip/cp4wireless

kclip/HyperRNN

kclip/bayesian_active_meta_learning

Code for paper https://arxiv.org/abs/2108.00785

kclip/Noise-Aware-LOCCNet

kclip/VDIB

kclip/Calibrating-Bayesian-Learning

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

kclip/cvcrc

kclip/IB-MHT

kclip/localized-adaptive-risk-control

kclip/OCOPQC

kclip/online_cp_urllc

kclip/Straggler-resilient-CMC

Code for the paper "Grouping and Coding for Consensus Monte Carlo: Robust One-Shot Distributed Bayesian Learning with Stragglers"