3 papers
cs.LG2026
NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts
Lanhao Li, Bingshu Xie, Lijun Sun +3
Accurate long-term forecasting in complex systems is frequently compromised by dataset-level distribution shifts, where diverse underlying behavioral modes and evolving system stat…
cs.CL2025
Instructing the Architecture Search for Spatial-temporal Sequence Forecasting with LLM
Xin Xue, Haoyi Zhou, Tianyu Chen +3
Spatial-temporal sequence forecasting (STSF) is a long-standing research problem with widespread real-world applications. Neural architecture search (NAS), which automates the neur…
quant-ph2025
Physics-inspired Machine Learning for Quantum Error Mitigation
Xiao-Yue Xu, Xin Xue, Tianyu Chen +5
Noise is a major obstacle in current quantum computing, and Machine Learning for Quantum Error Mitigation (ML-QEM) promises to address this challenge, enhancing computational accur…