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 ...
IEEE

An Autoregressive Model-Based Differential Framework With Learnable Regularization for CSI Feedback in Time-Varying Massive MIMO Systems

Abstract: In frequency division duplex (FDD) mode, the substantial feedback overhead in massive multi-input multi-output (MIMO) systems needs to be mitigated. Existing channel feedback methods that ...
GitHub

ESMF SDK Python Aspect Model Loader

The ESMF SDK Python Aspect Model Loader contains artifacts and resources for all parties that intent to use, extend or integrate with the Semantic Aspect Meta Model, e.g., Solution Developers, Domain ...
IEEE

A Novel Three-Stage Filtering Identification Algorithm for the Exponential Autoregressive Time-Series Model

Abstract: This letter studies the identification of a typical nonlinear time-series model, i.e., the exponential autoregressive model with unknown time-delay and colored noise. To deal with the ...
GitHub

Autoregressive Image Generation using Residual Quantization (CVPR 2022)

The examples of generated images by RQ-Transformer using class conditions and text conditions. Note that the text conditions of the examples are not used in training time. TL;DR For autoregressive (AR ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...