1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting
Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodriguez +2
Multi-variate time series forecasting is an important problem with a wide range of applications. Recent works model the relations between time-series as graphs and have shown that…
cs.LG2023
Performative Time-Series Forecasting
Zhiyuan Zhao, Haoxin Liu, Alexander Rodriguez +1
Time-series forecasting is a critical challenge in various domains and has witnessed substantial progress in recent years. Many real-life scenarios, such as public health, economic…