Imagine a network, like a socialnetwork or a system of connected devices, is being observed over time. Each node in this network has certain measurements attached to it that can change, like the ...

Lightricks, the Israeli AI startup best known for viral mobile apps like Facetune and Videoleap, is pushing deeper into professional production territory with a technical milestone that sets it apart ...

DeepSeek and OpenAI’s o1 models performed the best across the various benchmarks, but all models still struggle in a range of tasks, so there is much more work to be done. AI models are advancing at a ...

Autoregressive Transformer models have demonstrated impressive performance in video generation, but their sequential token-by-token decoding process poses a major bottleneck, particularly for long ...

Vector Autoregression (VAR) is a statistical model used to capture the linear interdependencies among multiple time series data. It generalizes the univariate autoregressive model to multiple time ...

ABSTRACT: To improve the efficiency of air quality analysis and the accuracy of predictions, this paper proposes a composite method based on Vector Autoregressive (VAR) and Random Forest (RF) models.

Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and are very strong at ...

🕹️ Try and Play with Infinity! We provide a demo website for you to play with Infinity and generate images interactively. Enjoy the fun of bitwise autoregressive modeling! We also provide interactive ...

ABSTRACT: The study explores the repercussions of monetary policy fluctuations on economic growth in Mozambique. Considering Mozambique’s history of political instability and economic hardship, ...

Large language models (LLMs) based on autoregressive Transformer Decoder architectures have advanced natural language processing with outstanding performance and scalability. Recently, diffusion ...