we embed inductive bias of compositionality into hierarchical latent representation space, which operates on two aspects: 1) disentangled and reusable representation. We establish a ...
Furthermore, although latent-based generative methods have shown great success in recent years, this particular model type remains underexplored in this area. In this work, we propose to apply flow ...
Chinese artificial intelligence developer DeepSeek today open-sourced DeepSeek-V3, a new large language model with 671 billion ... DeepSeek-3 implements multi-head latent attention, an improved ...
In this study, we introduce a novel diffusion model, termed Underwater Image Enhancement(UIE) Diffusion, which leverages a global feature prior for effective underwater image enhancement. To our ...
The heplots package provides functions for visualizing hypothesis tests in multivariate linear models (MANOVA, multivariate multiple regression, MANCOVA, and repeated measures designs). HE plots ...
However, the usefulness of an ICU-based model to predict latent shock risk in an emergency department (ED) setting remains unclear. This study aimed to develop an AI model to predict latent shock risk ...
Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh 15213, Pennsylvania, United States Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh 15213, ...
To use these models for preclinical drug testing ... We clustered neurons based on these normalized spike distributions across the behavioral latent space, and manually inspected the 4 highest-level ...
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