Abstract: Mixed data refers to a mixture of continuous and categorical variables. The clustering problem with mixed data is a long-standing statistical problem. The latent Gaussian mixture model, a ...
[2025/11/24] 🔥 We have integrated our model Uni-MoE-2.0-Omni for evaluation within the Lmms-eval framework, see here. [2025/11/13] 🔥 We release the second version of Uni-MoE-2.0-Omni. It achieves a ...
Abstract: Vehicle tests play a very important role in automotive manufacturing, and by using a driving robot for vehicle tests, the efficiency and accuracy of vehicle tests can be improved. In order ...
🌟 Sparse attention mechanism based on MoBA, designed for video diffusion model training. 🖼️ Key innovations: Layer-wise Recurrent Block Partition, Global Block Selection, and Threshold-based Block ...
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