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Found 6 papers, 2 papers with code
Transformers are Efficient In-Context Estimators for Wireless Communication
A communication channel is essentially a noisy function that maps transmitted symbols to received symbols, and this function can be represented by an unknown parameter whose statistics depend on an (also unknown) latent context.
LLMZip: Lossless Text Compression using Large Language Models
We provide new estimates of an asymptotic upper bound on the entropy of English using the large language model LLaMA-7B as a predictor for the next token given a window of past tokens.
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning
The goal is to create a low complexity, linear compression strategy, called PolarAir, that reduces the size of the gradient at the user side to lower the number of channel uses needed to transmit it.
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning
Safe reinforcement learning is extremely challenging--not only must the agent explore an unknown environment, it must do so while ensuring no safety constraint violations.
Multi-Class Unsourced Random Access via Coded Demixing
Unsourced random access (URA) is a recently proposed communication paradigm attuned to machine-driven data transfers.
Information Theory Information Theory
An Exploration of the Heterogeneous Unsourced MAC
In the cluster with higher power, devices transmit using a two-layer superposition modulation.
Information Theory Information Theory
