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 ...

To download the pre-generated dataset used in our paper, please run the following command: We then benchmark the decoding quality and perplexity of those decoding methods. Please check the Benchmark ...

To understand complex brain processes, there is a clear need to shift from traditional single-cell studies of trial-averaged responses to single-trial analyses of multiple neurons. In this respect, ...

Coding–Decoding is one of the most common and scoring topics in the Reasoning Ability section of competitive exams like IBPS, SBI, SSC, Railways, Insurance, and other government recruitment tests. It ...

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.

Abstract: In this paper, we are the first to propose a new graph convolution-based decoder namely, Cascaded Graph Convolutional Attention Decoder (G-CASCADE), for 2D medical image segmentation.

TL;DR: A wide range of online courses from Harvard University are available to take for free on edX. Do you have big plans to ...

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Google's new Gemini 3 model challenges OpenAI's dominance in the global artificial intelligence (AI) race. As rivals invest ...

Three years later, Prashanth says Stack Overflow is now very comfortable primarily as an enterprise SaaS business, which provides AI-based solutions that are tailored to different companies’ internal ...

The modern browser comes with a clean interface that hides a lot of activity. It makes it hard to know what may be causing a ...