Kiran Madhusudhanan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
4
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PAKDD | Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased Is Time Series Forecasting? | Ibram Abdelmalak, Kiran Madhusudhanan, Jungmin Choi, Christian Kltergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme |
| 2025 | ECAI | TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression. | Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Jonas Sonntag, Maximilian Stubbemann, Lars Schmidt-Thieme |
| 2024 | AAAI | GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. | Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme |
| 2024 | PAKDD | Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. | Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme |
| 2023 | IJCNN | Forecasting Early with Meta Learning. | Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme |