Kiran Madhusudhanan
Kiran Madhusudhanan
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Yformer: U-net inspired transformer architecture for far horizon time series forecasting
K Madhusudhanan, J Burchert, N Duong-Trung, S Born, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2023
Multimodal meta-learning for time series regression
SP Arango, F Heinrich, K Madhusudhanan, L Schmidt-Thieme
Advanced Analytics and Learning on Temporal Data: 6th ECML PKDD Workshop …, 2021
Put attention to temporal saliency patterns of multi-horizon time series
N Duong-Trung, S Born, K Madhusudhanan, R Scholz, J Burchert, ...
arXiv preprint arXiv:2212.07771, 2022
AI and Data-Driven Mobility at Volkswagen Financial Services AG
S Jawed, A Rashed, K Madhusudhanan, S Elsayed, M Jameel, A Volk, ...
arXiv preprint arXiv:2202.04411, 2022
Hyperparameter Tuning MLP’s for Probabilistic Time Series Forecasting
K Madhusudhanan, S Jawed, L Schmidt-Thieme
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 264-275, 2024
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
K Madhusudhanan, G Behrens, M Stubbemann, L Schmidt-Thieme
arXiv preprint arXiv:2403.03812, 2024
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
VK Yalavarthi, K Madhusudhanan, R Scholz, N Ahmed, J Burchert, ...
Predicting Deviation of Flight Entry into Air Sector using Machine Learning Techniques
C Klötergens, C Acevedo, I Firmansyah, L Antiqui, K Madhusudhanan, ...
2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC), 1-10, 2023
Forecasting Early with Meta Learning
S Jawed, K Madhusudhanan, VK Yalavarthi, L Schmidt-Thieme
2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023
3D object reconstruction from a single 2D image: performance of two novel frameworks based on lightweight CNN architectures and free-form deformation of meshes
S Pradhan, K Madhusudhanan, L Munoz-Giraldo, MU Faruq, H Jomaa
Eleventh International Conference on Graphics and Image Processing (ICGIP …, 2020
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