Maximilian Stubbemann

Orcid: 0000-0003-1579-1151

According to our database1, Maximilian Stubbemann authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research.
CoRR, 2024

ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing.
CoRR, 2024

Moco: A Learnable Meta Optimizer for Combinatorial Optimization.
CoRR, 2024

2023
Orometry, intrinsic dimensionality and learning: Novel insights into network data.
PhD thesis, 2023

Intrinsic Dimension for Large-Scale Geometric Learning.
Trans. Mach. Learn. Res., 2023

Selecting Features by their Resilience to the Curse of Dimensionality.
CoRR, 2023

The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022
LG4AV: Combining Language Models and Graph Neural Networks for Author Verification.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

FCA2VEC: Embedding Techniques for Formal Concept Analysis.
Proceedings of the Complex Data Analytics with Formal Concept Analysis, 2022

2021
Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research.
Scientometrics, 2021

2020
Orometric Methods in Bounded Metric Data.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019
FCA2VEC: Embedding Techniques for Formal Concept Analysis.
CoRR, 2019


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