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 | 24* | 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 | 14 | 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 | 1 | 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 | 1 | 2022 |
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting K Madhusudhanan, S Jawed, L Schmidt-Thieme arXiv preprint arXiv:2403.04477, 2024 | | 2024 |
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing K Madhusudhanan, G Behrens, M Stubbemann, L Schmidt-Thieme arXiv preprint arXiv:2403.03812, 2024 | | 2024 |
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series VK Yalavarthi, K Madhusudhanan, R Scholz, N Ahmed, J Burchert, ... | | 2024 |
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 | | 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 | | 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 | | 2020 |