Kiran Madhusudhanan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Inductive Learning

Top Venues

AALTD@ECML/PKDD

Publications

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series. AAAI (2024)
Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting. CoRR (2024)
Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. PAKDD (6) (2024)
Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, Lars Schmidt-Thieme
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing. CoRR (2024)
Vijaya Krishna Yalavarthi, Randolf Scholz, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme
Marginalization Consistent Mixture of Separable Flows for Probabilistic Irregular Time Series Forecasting. CoRR (2024)
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Forecasting Early with Meta Learning. CoRR (2023)
Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Forecasting Early with Meta Learning. IJCNN (2023)
Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme
U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting. ECML/PKDD (6) (2022)
Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed, Kiran Madhusudhanan, Shereen Elsayed, Mohsan Jameel, Alexei Volk, Andre Hintsches, Marlies Kornfeld, Katrin Lange, Lars Schmidt-Thieme
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG. CoRR (2022)
Nghia Duong-Trung, Stefan Born, Kiran Madhusudhanan, Randolf Scholz, Johannes Burchert, Danh Le Phuoc, Lars Schmidt-Thieme
Put Attention to Temporal Saliency Patterns of Multi-Horizon Time Series. CoRR (2022)
Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme
Multimodal Meta-Learning for Time Series Regression. AALTD@ECML/PKDD (2021)
Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme
Multimodal Meta-Learning for Time Series Regression. CoRR (2021)
Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting. CoRR (2021)