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ORCIDKiran Madhusudhanan
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2020 – today
- 2024
[c5]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: 16255-16263- [c4]Kiran Madhusudhanan
, Shayan Jawed, Lars Schmidt-Thieme:
Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. PAKDD (6) 2024: 264-275 - [i9]Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, Lars Schmidt-Thieme:
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing. CoRR abs/2403.03812 (2024) - [i8]Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme:
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting. CoRR abs/2403.04477 (2024) - [i7]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 abs/2406.07246 (2024) - [i6]Dona Arabi, Jafar Bakhshaliyev, Ayse Coskuner, Kiran Madhusudhanan, Kami Serdar Uckardes:
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting. CoRR abs/2408.10951 (2024) - 2023
- [c3]Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme:
Forecasting Early with Meta Learning. IJCNN 2023: 1-8 - [i5]Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme:
Forecasting Early with Meta Learning. CoRR abs/2307.09796 (2023) - 2022
- [c2]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: 36-52 - [i4]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 abs/2202.04411 (2022) - [i3]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 abs/2212.07771 (2022) - 2021
- [c1]Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme:
Multimodal Meta-Learning for Time Series Regression. AALTD@ECML/PKDD 2021: 123-138 - [i2]Sebastian Pineda-Arango, Felix Heinrich, Kiran Madhusudhanan, Lars Schmidt-Thieme:
Multimodal Meta-Learning for Time Series Regression. CoRR abs/2108.02842 (2021) - [i1]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 abs/2110.08255 (2021)
Coauthor Index
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