VQ-VAE

Signal2Symbol, a neuro-symbolic framework for explainable biosignal anomaly detection, converts ECG and EEG signals into symbolic sequences via a learned VQ-VAE codebook or a SAX baseline, then scores…

Researchers from the Technical University of Munich introduced GaussianGPT, a transformer-based model that generates 3D scenes autoregressively via next-token prediction on Gaussian splatting tokens, …

Researchers developed a communication framework using VQ-VAE that reduces latency by up to 79-fold with minimal accuracy loss, enabling efficient data transmission under spectrum constraints.…

Researchers propose a framework to expand human motion generation by using large-scale synthetic motion data and a redesigned VQ-VAE tokenizer, overcoming the limited diversity of motion capture datas…