1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift
Luca Masserano, Syama Sundar Rangapuram, Shubham Kapoor +3
The world is not static: This causes real-world time series to change over time through external, and potentially disruptive, events such as macroeconomic cycles or the COVID-19 pa…
math.OC2023★ 1 cited
Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
Konstantinos Benidis, Ugo Rosolia, Syama Rangapuram +2
We propose an ML-based model that automates and expedites the solution of MIPs by predicting the values of variables. Our approach is motivated by the observation that many problem…