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Tsinghua University, Carnegie Mellon University
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Neural synchronization, long hypothesized to support flexible coordination in biological brains, can now be harnessed to improve the learning efficiency of Vision Transformers.
Diffusion planners get a boost in robustness and performance thanks to SAGE, a self-supervised method that weeds out dynamically inconsistent plans using a learned latent consistency signal.
