GitHub

[ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

This repo contains the official code of our ICLR'25 paper: ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. We introduce ViDiT-Q, a quantization ...
GitHub

ml-suite_Tensorflow_Quantization /examples /deployment_modes

This directory provides examples of how to deploy Deep CNNs on FPGAs using Xilinx Python APIs. All examples provided within this directory exercise precompiled versions of GoogLeNet or ResNet50 whose ...
INSPIRE

Frozen formalism and canonical quantization in group field theory

Canonical quantization of gravitational systems is obstructed by the problem of time. Due to diffeomorphism symmetry the Hamiltonian vanishes: dynamics with respect to a background time parameter ...
Europe PMC

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval.

Deep product quantization networks (DPQNs) have been successfully used in image retrieval tasks, due to their powerful feature extraction ability and high efficiency of encoding high-dimensional ...
IEEE

Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning

Abstract: Mixed-precision quantization mostly predetermines the model bit-width settings before actual training due to the non-differential bit-width sampling process, obtaining suboptimal performance ...
C&EN

Tuning Multiple Landau Quantization in Transition-Metal Dichalcogenide with Strain

Beijing National Center for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, PR China School of Physical Sciences, University of Chinese Academy of ...
IEEE

Finite-Bit Quantization for Distributed Algorithms With Linear Convergence

Abstract: This paper studies distributed algorithms for (strongly convex) composite optimization problems over mesh networks, subject to quantized communications. Instead of focusing on a specific ...
Europe PMC

S-TREE: self-organizing trees for data clustering and online vector quantization.

This paper introduces S-TREE (Self-Organizing Tree), a family of models that use unsupervised learning to construct hierarchical representations of data and online tree-structured vector quantizers.