| Yformer: U-net inspired transformer architecture for far horizon time series forecasting K Madhusudhanan, J Burchert, N Duong-Trung, S Born, ... arXiv preprint arXiv:2110.08255, 2021 | 5 | 2021 |
| 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 | 3 | 2021 |
| 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 |
| 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 | | 2022 |
| 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 |
| U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting K Madhusudhanan, J Burchert, N Duong-Trung, S Born, ... | | |
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
