CIO

Understanding transformers: What every leader should know about the architecture powering GenAI

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
IEEE

Conditional Entropy-Constrained Multi-Stage Vector Quantization for Semantic Communication

Abstract: This letter presents a conditional entropy-constrained multi-stage vector quantization (CEC-MSVQ) framework for semantic communication (SC). The proposed method integrates multi-stage VQ ...
IEEE

BRIC: Bottom-Up Residual Vector Quantization for Learned Image Compression

Abstract: This paper presents Bottom-up Residual vector quantization for learned Image Compression (BRIC). This novel deep learning-based image compression method quantizes latent representations ...
GitHub

MELLE: Autoregressive Speech Synthesis without Vector Quantization

An unofficial PyTorch implementation of "Autoregressive Speech Synthesis without Vector Quantization" paper. This repository provides a complete pipeline for training and inference of the MELLE model.
GitHub

motokimura/timm_quantization_fx

Sensitivity analysis (and partial quantization) example is also provided. The figure below shows per-layer sensitivity analysis result of efficientnet_lite0 model. Only the static post-training ...