5 papers
Robust Learning of Heterogeneous Dynamic Systems
Shuoxun Xu, Zijian Guo, Brooke R. Staveland +2
Ordinary differential equations (ODEs) provide a powerful framework for modeling dynamic systems arising in a wide range of scientific domains. However, most existing ODE methods f…
Statistical Learning for Latent Embedding Alignment with Application to Brain Encoding and Decoding
Shuoxun Xu, Zhanhao Yan, Lexin Li
Brain encoding and decoding aims to understand the relationship between external stimuli and brain activities, and is a fundamental problem in neuroscience. In this article, we stu…
Contrastive Network Representation Learning
Zihan Dong, Xin Zhou, Ryumei Nakada +2
Network representation learning seeks to embed networks into a low-dimensional space while preserving the structural and semantic properties, thereby facilitating downstream tasks…
Residual Feature Integration is Sufficient to Prevent Negative Transfer
Yichen Xu, Ryumei Nakada, Linjun Zhang +1
Transfer learning has become a central paradigm in modern machine learning, yet it suffers from the long-standing problem of negative transfer, where leveraging source representati…
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models
Yinpeng Cai, Lexin Li, Linjun Zhang
Large Language Models (LLMs) are rapidly gaining enormous popularity in recent years. However, the training of LLMs has raised significant privacy and legal concerns, particularly…