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 ...
eCoustics

SMSL DL400 DAC/Headphone Amp Debuts With DSD, LDAC and Serious Desktop Ambitions

DAC & Formats: ESS ES9039MSPRO; PCM 44.1–768 kHz (32-bit) and DSD 2.8–22.5 MHz (1-bit) via USB/I2S; Optical/Coax/AES to 192 kHz/24-bit; DoP256 (USB) and DoP64 (Optical/Coax/AES) ...
IEEE

Decoding Imagined Speech Based on Deep Metric Learning for Intuitive BCI Communication

Abstract: Imagined speech is a highly promising paradigm due to its intuitive application and multiclass scalability in the field of brain-computer interfaces. However, optimal feature extraction and ...
IEEE

A Strong and Simple Deep Learning Baseline for BCI Motor Imagery Decoding

Abstract: We propose EEG-SimpleConv, a straightforward 1D convolutional neural network for Motor Imagery decoding in BCI. Our main motivation is to propose a simple and performing baseline that ...