Christos Faloutsos

Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility

Understanding the Implicit Biases of Design Choices for Time Series Foundation Models

Empowering GNNs for Domain Adaptation via Denoising Target Graph

Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Spectro-Riemannian Graph Neural Networks

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization

Agent-G: An Agentic Framework for Graph Retrieval Augmented Generation