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 ...

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: Streaming forward erasure correction (FEC) is effective for achieving low-latency packet delivery over loss links. Two decoding strategies, namely the forward-first or backward-first ...

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 ...