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Found 10 papers, 2 papers with code
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks
Our goal is to minimize time-average estimation error and/or age of information with decentralized scalable sampling and transmission policies, considering both oblivious (where decision-making is independent of the physical processes) and non-oblivious policies (where decision-making depends on physical processes).
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
On general vector sources, LTC improves upon standard neural compressors in one-shot coding performance.
Text + Sketch: Image Compression at Ultra Low Rates
Recent advances in text-to-image generative models provide the ability to generate high-quality images from short text descriptions.
On a Relation Between the Rate-Distortion Function and Optimal Transport
We discuss a relationship between rate-distortion and optimal transport (OT) theory, even though they seem to be unrelated at first glance.
Federated Neural Compression Under Heterogeneous Data
We discuss a federated learned compression problem, where the goal is to learn a compressor from real-world data which is scattered across clients and may be statistically heterogeneous, yet share a common underlying representation.
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
Motivated by the empirical success of deep neural network (DNN) compressors on large, real-world data, we investigate methods to estimate the rate-distortion function on such data, which would allow comparison of DNN compressors with optimality.
Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
This allows for the use of the same computationally efficient algorithm on sampled constraints, which provides PAC-style guarantees on the stability of the GNN using results in scenario optimization.
Out-of-Distribution Robustness in Deep Learning Compression
In recent years, deep neural network (DNN) compression systems have proved to be highly effective for designing source codes for many natural sources.
Timely Broadcasting in Erasure Networks: Age-Rate Tradeoffs
The interplay between timeliness and rate efficiency is investigated in packet erasure broadcast channels with feedback.
Information Theory Social and Information Networks Systems and Control Systems and Control Information Theory
Real-time Sampling and Estimation on Random Access Channels: Age of Information and Beyond
It is shown that non-oblivious policies offer a multiplicative gain close to $3$ compared to oblivious policies.
