Nemotron-Labs-Diffusion, NVIDIA’s new tri-mode language model, eliminates the separate draft model in speculative decoding: ...
Abstract: Guessing random additive noise decoding (GRAND) has been recently proposed as a code-agnostic decoding technique for linear block codes, which attempts to ...
Abstract: Maximum likelihood (ML) decoding is the optimal decoding algorithm for arbitrary linear block codes and can be written as an integer programming (IP) problem. Feldman relaxed this IP problem ...
When I started looking into erasure coding techniques, I found many implementations of traditional block codes like Reed-Solomon codes or fountain codes like Raptor codes, though no implementation of ...
📢 If you also engaged in the research of MDLMs or RL, we welcome your suggestions. And feel free to create an issue, when you have any questions about the code. If you are interested in our work, ...
Recently, several deep learning methods have been applied to decoding in task-related fMRI, and their advantages have been exploited in a variety of ways. However, this paradigm is sometimes ...
The control of arm movements through intracortical brain–machine interfaces (BMIs) mainly relies on the activities of the primary motor cortex (M1) neurons and mathematical models that decode their ...
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