Stubbemann, Maximilian

7 publications

ECML-PKDD 2025 Attribute-Aware Sequential Recommendation Model for Used Car Auctions Shereen Elsayed, Ngoc Son Le, Ahmed Rashed, Lukas Hestermeyer, Radoslaw Wlodarczyk, Maximilian Stubbemann, Lars Schmidt-Thieme

ICLR 2025 Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs Christian Klötergens, Vijaya Krishna Yalavarthi, Randolf Scholz, Maximilian Stubbemann, Stefan Born, Lars Schmidt-Thieme

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

ECML-PKDD 2024 Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme

TMLR 2024 Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research. Tobias Hille, Maximilian Stubbemann, Tom Hanika

TMLR 2023 Intrinsic Dimension for Large-Scale Geometric Learning Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider

ECML-PKDD 2023 The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks Maximilian Stubbemann, Gerd Stumme