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Lucas Zimmer
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 8
Top Topics
Tumor Growth
Neural Architecture
Search Space
Multistage
Top Venues
CoRR
Medical Image Anal.
ML4H@NeurIPS
IEEE Trans. Pattern Anal. Mach. Intell.
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Publications
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Ivan Ezhov
,
Kevin Scibilia
,
Katharina Franitza
,
Felix Steinbauer
,
Suprosanna Shit
,
Lucas Zimmer
,
Jana Lipková
,
Florian Kofler
,
Johannes C. Paetzold
,
Luca Canalini
,
Diana Waldmannstetter
,
Martin J. Menten
,
Marie Metz
,
Benedikt Wiestler
,
Bjoern H. Menze
Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling.
Medical Image Anal.
83 (2023)
Arber Zela
,
Julien Niklas Siems
,
Lucas Zimmer
,
Jovita Lukasik
,
Margret Keuper
,
Frank Hutter
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.
ICLR
(2022)
Ivan Ezhov
,
Marcel Rosier
,
Lucas Zimmer
,
Florian Kofler
,
Suprosanna Shit
,
Johannes C. Paetzold
,
Kevin Scibilia
,
Leon Mächler
,
Katharina Franitza
,
Tamaz Amiranashvili
,
Marie Metz
,
Sailesh Conjeti
,
Benedikt Wiestler
,
Bjoern H. Menze
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
CoRR
(2022)
Ivan Ezhov
,
Marcel Rosier
,
Lucas Zimmer
,
Florian Kofler
,
Suprosanna Shit
,
Johannes C. Paetzold
,
Kevin Scibilia
,
Felix Steinbauer
,
Leon Maechler
,
Katharina Franitza
,
Tamaz Amiranashvili
,
Martin J. Menten
,
Marie Metz
,
Sailesh Conjeti
,
Benedikt Wiestler
,
Bjoern H. Menze
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling.
ML4H@NeurIPS
(2022)
Ivan Ezhov
,
Kevin Scibilia
,
Katharina Franitza
,
Felix Steinbauer
,
Suprosanna Shit
,
Lucas Zimmer
,
Jana Lipková
,
Florian Kofler
,
Johannes C. Paetzold
,
Luca Canalini
,
Diana Waldmannstetter
,
Martin Menten
,
Marie Metz
,
Benedikt Wiestler
,
Bjoern H. Menze
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling.
CoRR
(2021)
Lucas Zimmer
,
Marius Lindauer
,
Frank Hutter
Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL.
IEEE Trans. Pattern Anal. Mach. Intell.
43 (9) (2021)
Lucas Zimmer
,
Marius Lindauer
,
Frank Hutter
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL.
CoRR
(2020)
Julien Siems
,
Lucas Zimmer
,
Arber Zela
,
Jovita Lukasik
,
Margret Keuper
,
Frank Hutter
NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search.
CoRR
(2020)