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Type: Organization
Type: Organization
Code for paper https://arxiv.org/abs/2108.00785
This repository contains the code for Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference.
Code to reproduce the experiments of "Cell-Free Multi-User MIMO Equalization via In-Context Learning"
Code for the paper "Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition"
Code for Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent
Code for the paper "Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning"
Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
Code for ITENE: Intrinsic Transfer Entropy Neural Estimator (arXiv version: https://arxiv.org/abs/1912.07277)
Code for the paper "Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels"
Code for the paper "End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning"
Code for the paper "Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning"
Code for the paper "Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction"
Code repository for paper "Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates"
Code for the paper "Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning"
Code for the paper "Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.