Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
GitHub

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models

This repository contains the official implementation of the paper "SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models". We proposed a flow-matching framework that learns an ...
GitHub

ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning

To fully reproduce our experiments, please refer to ReproduceExps.md. To download our training data and reproduce the plots in the paper, please refer to ...
IEEE

Contrastive Learning Algorithm for Low-Resource Cryptographic Attack Event Detection

Abstract: The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity ...
IEEE

Asymptotic Analysis of Sample-Averaged Q-Learning

Abstract: Reinforcement learning (RL) has emerged as a key approach for training agents in complex and uncertain environments. Incorporating statistical inference in RL algorithms is essential for ...