Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
IEEE

Probabilistic Emissivity Retrieval from Hyperspectral Data via Physics-Guided Variational Inference

Abstract: Recent research has proven neural networks to be a powerful tool for performing hyperspectral imaging (HSI) target identification. However, many current methods deliver a single material ...
GitHub

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently ...

🌟 TensorRT LLM is experimenting with Image&Video Generation models in TensorRT-LLM/feat/visual_gen branch. This branch is a prototype and not stable for production ...
IEEE

Variational Inference of Contrastive Learning Image Representations for Cardiac Image Segmentation

Abstract: This paper proposes a novel variational inference framework, SCVAE, for cardiac image segmentation. SCVAE embeds a manifold space between the image space and the image representation space ...
GitHub

Wan: Open and Advanced Large-Scale Video Generative Models

We are excited to introduce Wan2.2, a major upgrade to our foundational video models. With Wan2.2, we have focused on incorporating the following innovations: 👍 Effective MoE Architecture: Wan2.2 ...