Novel AI platform accelerates discovery of chemical catalysts for industry

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...
IEEE

Addressing Pilot Contamination in Channel Estimation with Variational Autoencoders

Abstract: Pilot contamination (PC) is a well-known problem that affects massive multiple-input multiple-output (MIMO) systems. When frequency and pilots are reused between different cells, PC ...
GitHub

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders

🧬 Extract SAE features from protein language models (PLMs) 📊 Analyze and interpret learned features through association with protein annotations 🎨 Visualize feature patterns and relationships 🤗 ...
IEEE

Enhancing Software Reliability through Anomaly Detection: Implementing Variational Autoencoders for Real-time Performance Monitoring and Error Prediction

Abstract: To secure performance with minimal system downtimes, the reliability of any software is the primary focus. This paper proposes a combined strategy of using deep learning techniques in an ...