Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...
Body language is a silent orchestra, as people constantly give clues to what they’re thinking and feeling. Non-verbal messages including body movements, facial expressions, vocal tone and volume, and ...
Abstract: The well-documented capacity-approaching performance of sparse codes in the realm of classical communications has inspired the search for their quantum counterparts. Sparse quantum codes are ...
Abstract: With the rapid development of deep learning, more and more deep learning-based motor imagery electroencephalograph (EEG) decoding methods have emerged in recent years. However, the existing ...
Figure 1. Speedup on HumanEval. All the experiments are conducted with H100 80G GPUs. The part results of Ouroboros and Lookahead Decoding are reproduced with their official codes. Our PEARL framework ...
This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...
Neurotechnology is no longer speculative. From brain implants that ease Parkinson’s symptoms to consumer wearables that track and influence mental states, do existing laws and norms offer real ...
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