Madhusudhanan, Kiran

3 publications

ICLR 2026 Reliable Probabilistic Forecasting of Irregular Time Series Through Marginalization-Consistent Flows Vijaya Krishna Yalavarthi, Randolf Scholz, Christian Klötergens, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme

AAAI 2024 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

ECML-PKDD 2022 U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme