1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting
Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
Time series forecasting attempts to predict future events by analyzing past trends and patterns. Although well researched, certain critical aspects pertaining to the use of deep le…
cs.LG2023
Forecasting Early with Meta Learning
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi +1
In the early observation period of a time series, there might be only a few historic observations available to learn a model. However, in cases where an existing prior set of datas…