Lucas Zimmer

Orcid: 0000-0002-5167-2929

According to our database1, Lucas Zimmer authored at least 7 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.
Medical Image Anal., 2023

2022
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR, 2022

A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling.
Proceedings of the Machine Learning for Health, 2022

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search.
CoRR, 2020

Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL.
CoRR, 2020


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