Remote VAEs for decoding with Inference Endpoints 🤗

Universal Assisted Generation: Faster Decoding with Any Assistant Model

Transformer-based Encoder-Decoder Models

Ettin Suite: SoTA Paired Encoders and Decoders

Low-Latency Task-Oriented Image Transmission with Opportunistic Spectrum Access

arXiv:2607. 01921v1 Announce Type: cross Abstract: Communication systems designed for reliable data reconstruction, rather than task-oriented communication, typically rely on separate source and channel coding and incur high latency under limited spectrum availability and fading channels.

On the quantitative analysis of decoder-based generative models

$\mathbf{\lambda}$-VAE: Variance Equalization for Posterior Collapse

arXiv:2607. 05531v1 Announce Type: new Abstract: Variational Autoencoders (VAEs) frequently suffer from posterior collapse, a failure mode in which the approximate posterior converges to the prior, rendering the latent code uninformative.