The Qwen3 series features two “mixture-of-experts ... and governance implications of using a model trained by a China-based vendor. Yet at the same time, it also offers a viable alternative ...

We model the time series data distribution as a mixture of both point-wise and segment-wise Gaussian distributions. In particular, we develop a novel End-To-End Mixture Clustering Attention Neural ...

Under Review of ICLR'25 Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts Under Review of ICLR'25 FlexTSF: A universal forecasting model for time series with variable ...

Our approach takes the Sentinel-1 time ... our models was 0.89 for the water class and 0.96 for the non-water class. Additionally, we compared the results with other unsupervised methods, such as Otsu ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

Since generative AI began to garner public interest, the computer vision research field has deepened its interest in ...

The Cleveland Cavaliers will look for the series sweep when they take on the ... The Cavs (64-18), who won 60 or more games for the third time in franchise history, are 31-11 on the road this ...

That’s where pretrained models come in. These ready-to-use tools are making AI faster, cheaper and more scalable. The rise of ...