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Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising Gongfan Fang Xinyin Ma Xinchao Wang National University of Singapore
Neural Information Processing Systems
The goal of multi-expert denoising is to increase the overall capacity of diffusion models while keeping an acceptable overhead.
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LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
Neural Information Processing Systems
We develop a 3D equivariant diffusion model that jointly learns the generative process of both fragment poses and the 3D structure of the linker.
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- Asia > China (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
Improving Gloss-free Sign Language Translation by Reducing Representation Density
Neural Information Processing Systems
Sign languages are the primary form of communication for millions of deaf individuals.
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