Burchert, Johannes

5 publications

NeurIPS 2025 Robust Hyperbolic Learning with Curvature-Aware Optimization Ahmad Bdeir, Johannes Burchert, Lars Schmidt-Thieme, Niels Landwehr

NeurIPS 2024 A Cross-Domain Benchmark for Active Learning Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme

AAAI 2024 GraFITi: Graphs for Forecasting Irregularly Sampled Time Series Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

ECML-PKDD 2022 Few-Shot Forecasting of Time-Series with Heterogeneous Channels Lukas Brinkmeyer, Rafael Rêgo Drumond, Johannes Burchert, Lars Schmidt-Thieme

ECML-PKDD 2022 U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting Kiran Madhusudhanan, Johannes Burchert, Nghia Duong-Trung, Stefan Born, Lars Schmidt-Thieme