GitHub

VAR: a new visual generation method elevates GPT-style models beyond diffusion & Scaling laws observed

🕹️ Try and Play with VAR! We provide a demo website for you to play with VAR models and generate images interactively. Enjoy the fun of visual autoregressive modeling! We provide a demo website for ...
IEEE

A Comparative Multivariate Analysis of VAR and Deep Learning-Based Models for Forecasting Volatile Time Series Data

Abstract: The existing literature on forecasting time series data is primarily based on univariate analysis and techniques such as Univariate Autoregressive (UAR), Univariate Moving Average (UMA), ...
IEEE

Graph-Vector Autorregressive Model for Lithium-Ion Cell Capacity Estimation

Abstract: Battery degradation is a critical consideration in ensuring the longevity and reliability of energy storage systems, particularly in devices deployed in remote locations. Characterizing ...
GitHub

WorldVLA: Towards Autoregressive Action World Model

WorldVLA is an autoregressive action world model that unifies action and image understanding and generation. WorldVLA intergrates Vision-Language-Action (VLA) model (action model) and world model in ...
The Mirror

VAR technology FAILS as Newcastle vs Chelsea decision explained

Semi-automatic offside technology was down and unable to provide a judgment on whether Nick Woltemade was offside for his second goal against Chelsea. Instead, a lengthy stoppage was required as VAR ...
Frontiers

Retrieving interpretability to support vector machine regression models in dynamic system identification

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...