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: Existing methods for reversible data hiding in ciphertext binary images only involve one data hider to perform data embedding. When the data hider is attacked, the original binary image ...

Abstract: Access control schemes in predicate encryption can effectively reduce the risk of information leakage in the inner product function encryption (IPFE). However, when we try to transition from ...

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 ...