IEEE

Advancing Anomaly Detection: Non-Semantic Financial Data Encoding With Large Language Models

Abstract: Detecting anomalies in general ledger data is of utmost importance to ensure the trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algorithms ...

Glassy dynamics model predicts lipid exchange rates across cell membranes

Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless ...
IEEE

A Joint Decoding Scheme for Communication-Efficient NOMA-Empowered Federated Learning

Abstract: Federated learning (FL) is a promising distributed learning framework. However, most existing works have rarely considered the impact of symbol errors on the performance of wireless FL but ...
GitHub

Sequential Graph-Based Decoding of the Surface Code using a Hybrid Graph and Recurrent Neural Network Model

This Git repo contains simplified source code for creating and testing our combined graph neural network and recurrent neural network used for decoding the surface code.
Frontiers

An mRNA vaccine encoding the Ebola virus glycoprotein induces high neutralizing antibody titers and provides strong protection against lethal infections in mouse models

Ebola virus (EBOV) is the causative agent of Ebola disease (EBOD), a viral hemorrhagic fever with a notably high case fatality rate. Current treatments for EBOD are limited to monoclonal antibodies or ...
GitHub

Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models

We propose FreeDave (Free Draft-and-Verification), a fast sampling algorithm for diffusion language models, which achieves lossless parallel decoding via a pipeline of parallel-decoded candidate ...