kclip

kclip

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kclip's repositories

meta-demodulator

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

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snn

Code for training binary and WTA SNNs

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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"

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quantum-CP

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

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scalar-channel-meta-prediction

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

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phase-aware-rt-calibration

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

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Cell-free-MIMO-ICL

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

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Epistemic-Uncertainty-AISTATS2022

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

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meta-XB

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

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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]

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WVCMC

Code for Paper: D. Liu and O. Simeone, "Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers", [Arxiv: https://arxiv.org/pdf/2103.01351.pdf]

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bayesian_active_meta_learning

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

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Calibrating-Bayesian-Learning

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

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Straggler-resilient-CMC

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

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