Machine Learning

G2PT: a novel graph generative model using sequence-based representation and transformer decoder, achieving superior performance on diverse tasks.

Simple tweak, big privacy win: MLP-based architectures boost data protection in federated learning.

HyperFL: A new federated learning framework breaking the direct connection between shared parameters and private data, effectively defending against gradient inversion attacks while maintaining favora…

Physics-Informed Gaussians (PIGs) revolutionize PDE solving by using adaptive, learnable Gaussian functions for superior accuracy and efficiency.

Hybrid Graph Sequence Model (GSM++) outperforms existing models by using hierarchical sequences and a hybrid architecture of Transformers and recurrent models, effectively capturing both local and glo…

Enriched dataset TESORO improves technical debt detection by combining self-admitted comments and Java source code, advancing state-of-the-art models.

SambaMixer: A novel state-space model accurately predicts Li-ion battery health using efficient Mamba architecture and innovative resampling techniques.