GitHub

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching

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 ...

Dodge’s wildest Hemi V8 ever is back, but you’re not going to like the price

Mopar’s 1,000 hp Hellephant crate engine is back and it might mean Stellantis has more wild V8s in the pipeline ...
Nature

Neural decoding articles from across Nature Portfolio

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 ...
IEEE

Speech Imagery Decoding Using EEG Signals and Deep Learning: A Survey

Abstract: Speech imagery (SI)-based brain–computer interface (BCI) using electroencephalogram (EEG) signal is a promising area of research for individuals with severe speech production disorders.
IEEE

Decoding Urban Mobility: Application of Natural Language Processing and Machine Learning to Activity Pattern Recognition, Prediction, and Temporal Transferability Examination

Abstract: Activity patterns provide valuable insights into activity-based travel demand modeling and understanding human mobility. However, challenges often arise in accurately recognizing activity ...