Uncover how an AI system developed at KAIST optimizes injection moulding processes and transfers critical knowledge to ...
The cpiVAE learns a shared latent representation across different proteomics platforms. The model consists of platform-specific encoders and decoders connected through a shared latent space, allowing ...
Abstract: Advanced semiconductor manufacturing increasingly depends on Virtual Metrology (VM) for real-time quality monitoring, yet conventional data-driven models rarely capture the scarce or extreme ...
Abstract: Generative Artificial Intelligence (GAI) has rapidly advanced, revolutionizing content creation across diverse domains, including text, image, audio, and video synthesis. Generative models, ...
We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
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