Katharina Eggensperger

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Papers (8)

1. Is One Layer Enough? Understanding Inference Dynamics in Tabular Foundation Models cs.LG · 2026 · author #3
2. In-Context Decision Making for Optimizing Complex AutoML Pipelines cs.LG · 2025 · author #2
3. TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second cs.LG · 2022 · author #3
4. Neural Networks for Predicting Algorithm Runtime Distributions cs.AI · 2017 · author #1
5. Deep learning with convolutional neural networks for decoding and visualization of EEG pathology cs.LG · 2017 · author #3
6. Pitfalls and Best Practices in Algorithm Configuration cs.AI · 2017 · author #1
7. Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates cs.AI · 2017 · author #1
8. Deep learning with convolutional neural networks for EEG decoding and visualization cs.LG · 2017 · author #5

Mentions

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Frequent Coauthors

• Frank Hutter 6 shared papers
• Marius Lindauer 3 shared papers
• Amir Rezaei Balef 2 shared papers
• Robin Tibor Schirrmeister 2 shared papers
• Tonio Ball 2 shared papers
• Holger H. Hoos 1 shared papers
• Jost Tobias Springenberg 1 shared papers
• Kevin Leyton-Brown 1 shared papers
• Lukas Dominique Josef Fiederer 1 shared papers
• Lukas Gemein 1 shared papers
• Martin Glasstetter 1 shared papers
• Michael Tangermann 1 shared papers
• Mykhailo Koshil 1 shared papers
• Noah Hollmann 1 shared papers
• Samuel M\"uller 1 shared papers
• Wolfram Burgard 1 shared papers