Visualization of particle trajectories in water as turbulence winds down in a specially designed tank. The colors represent ...
New method lets robots adapt to curved objects, transferring skills like peeling and slicing across varied shapes with ...
Diffusion policy exhibits promising multimodal property and distributional expressivity in robotic field, while not ready for real-time end-to-end autonomous driving in more dynamic and open-world ...
Researchers in the US have turned the world's first exascale supercomputer into an AI tool for modeling stars and supernovae.
Abstract: Diffusion models are emerging as powerful solutions for generating high-fidelity and diverse images, often surpassing GANs under many circumstances. However, their slow inference speed ...
Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...
Abstract: Electroencephalogram (EEG) signals are vital in understanding brain activity, but their weak amplitude makes them susceptible to various artifacts. Accurate denoising of EEG data is crucial ...
Abstract: Denoising diffusion probabilistic models (DDPMs) are becoming the leading paradigm for generative models. It has recently shown breakthroughs in audio synthesis, time series imputation and ...
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