Turning uncertainty into a design tool for AI-engineered molecules

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...
Tech Xplore

Diffusion-based AI model successfully trained in electroplating

Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion ...
Polygon

Invincible VS gets a fan-favorite new character and an early chance for fans to play him

Invincible VS will be released next month, but before then, you can get a taste of the bone-crunching tag-team fighter for free. Developer Quarter Up and publisher Skybound Games announced Tuesday an ...
Scientific Research Publishing

Wei, R. and Mahmood, A. (2021) Recent Advances in Variational Autoencoders with Representation Learning for Biomedical Informatics: A Survey. IEEE Access, 9, 4939-4956.

ABSTRACT: Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of ...
GitHub

Variational Autoencoder (VAE) for Image Generation

This project implements a Variational Autoencoder (VAE) for image generation. Unlike standard autoencoders, VAE learns a probabilistic latent space by encoding images to a distribution and sampling ...
Scientific Research Publishing

Chen, Li, X., Grosse, R., & Duvenaud, D. (2018). Isolating Sources of Disentanglement in Variational Autoencoders. arXiv: 1802.04942.

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...
IEEE

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning

Abstract: In the context of histological image classification, Multiple Instance Learning (MIL) methods only require labels at Whole Slide Image (WSI) level, effectively reducing the annotation ...