Maximilian Stubbemann

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Intrinsic Dimension

Polynomial Regression

Selecting Features

Top Venues

Publications

Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training. CoRR (2024)
Christian Klötergens, Vijaya Krishna Yalavarthi, Maximilian Stubbemann, Lars Schmidt-Thieme
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting. CoRR (2024)
Tobias Hille, Maximilian Stubbemann, Tom Hanika
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research. CoRR (2024)
Kiran Madhusudhanan, Gunnar Behrens, Maximilian Stubbemann, Lars Schmidt-Thieme
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing. CoRR (2024)
Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider
Intrinsic Dimension for Large-Scale Geometric Learning. Trans. Mach. Learn. Res. 2023 (2023)
Maximilian Stubbemann, Tobias Hille, Tom Hanika
Selecting Features by their Resilience to the Curse of Dimensionality. CoRR (2023)
Maximilian Stubbemann, Gerd Stumme
The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks. ECML/PKDD (3) (2023)
Maximilian Stubbemann, Gerd Stumme
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification. IDA (2022)
Maximilian Stubbemann, Tom Hanika, Friedrich Martin Schneider
Intrinsic Dimension for Large-Scale Geometric Learning. CoRR (2022)
Tobias Koopmann, Maximilian Stubbemann, Matthias Kapa, Michael Paris, Guido Buenstorf, Tom Hanika, Andreas Hotho, Robert Jäschke, Gerd Stumme
Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research. Scientometrics 126 (12) (2021)
Maximilian Stubbemann, Gerd Stumme
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification. CoRR (2021)
Maximilian Stubbemann, Gerd Stumme
The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks. CoRR (2021)
Maximilian Stubbemann, Tom Hanika, Gerd Stumme
Orometric Methods in Bounded Metric Data. IDA (2020)
Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann
FCA2VEC: Embedding Techniques for Formal Concept Analysis. CoRR (2019)
Maximilian Stubbemann, Tom Hanika, Gerd Stumme
Orometric Methods in Bounded Metric Data. CoRR (2019)