His self-proclaimed love for doughnuts. He once joked on X that he eats ‘a donut every morning,’ though later clarified and ...

// you may not use this file except in compliance with the License. // You may obtain a copy of the License at // http://www.apache.org/licenses/LICENSE-2.0 #include ...

This relighting-ratio function is derived from an image rendering formula that quantizes variables such as albedo that are affected by the lighting direction, while systematically excluding variables ...

In this paper, we propose Gram, a large general EEG model for raw EEG data classification and reconstruction tasks. Gram consists of two stages. 1) The initial stage quantizes raw EEG patches into ...

Different from other models, Medusa decoding needs a base model and Medusa heads. The TensorRT-LLM Medusa Decoding implementation can be found in tensorrt_llm/models ...

By using vector quantized variational autoencoder (VQ-VAE) technology, ARLON effectively compresses and quantizes high-dimensional input features in T2V tasks, reducing learning complexity without ...