In this work, we propose QuantFace, a novel low-bit quantization for one-step diffusion face restoration models, where the full-precision (i.e., 32-bit) weights and activations are quantized to ...

Efficient sampling in biomolecular simulations is critical for accurately capturing the complex dynamic behaviors of biological systems. Adaptive sampling techniques aim to improve efficiency by ...

Dear Yang, Thanks for your excellent work! I have some questions about the code. I did not find the entropy encoding part in the code. Why is the quantization of "dequantize" used directly in the ...

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy.

Quantization, a method integral to computational linguistics, is essential for managing the vast computational demands of deploying large language models (LLMs). It simplifies data, thereby ...

Quantization is a process that simplifies data representation by reducing precision. Learn the full quantization meaning here.