eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
GitHub

SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer

imagenet └── train/ ├── n01440764 ├── n01440764_10026.JPEG ├── n01440764_10027.JPEG ├── ... ├── n01443537 ...
IEEE

Wind Power Scenario Generation based on the Generalized Dynamic Factor Model and Generative Adversarial Network

Abstract: For conducting resource adequacy studies, we synthesize multiple long-term wind power scenarios of distributed wind farms by using the spatio-temporal features: spatial and temporal ...
IEEE

Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
TechCrunch

Runway releases its first world model, adds native audio to latest video model

The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and Big Tech companies by launching its first one. Dubbed GWM-1, the model ...
GitHub

The IMAU Python SEB model for snow and ice

Note that Python version 3.9.2 might be required for compatilibity with the numba package (on March 2022). Note that the latest Python version (3.13) is currently not ...