3 papers
cs.LG2026
Extreme Adaptive Transformer for Time Series Forecasting
Sanjeev Shrestha, Hui Liu, Yifan Zhang
Time series forecasting remains challenging when the underlying data contain rare but critical extreme events. This issue is particularly important in hydrologic forecasting, where…
cs.LG2026
Beyond Linear Surrogates: High-Fidelity Local Explanations for Black-Box Models
Sanjeev Shrestha, Rahul Dubey, Hui Liu
With the increasing complexity of black-box machine learning models and their adoption in high-stakes areas, it is critical to provide explanations for their predictions. Existing…
cs.LG2024
TCDformer-based Momentum Transfer Model for Long-term Sports Prediction
Hui Liu, Jiacheng Gu, Xiyuan Huang +3
Accurate sports prediction is a crucial skill for professional coaches, which can assist in developing effective training strategies and scientific competition tactics. Traditional…