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Lucas Zimmer
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Auto-pytorch: Multi-fidelity metalearning for efficient and robust autodl
L Zimmer, M Lindauer, F Hutter
IEEE transactions on pattern analysis and machine intelligence 43 (9), 3079-3090, 2021
2042021
Nas-bench-301 and the case for surrogate benchmarks for neural architecture search
J Siems, L Zimmer, A Zela, J Lukasik, M Keuper, F Hutter
arXiv preprint arXiv:2008.09777 4, 14, 2020
1692020
Surrogate NAS benchmarks: Going beyond the limited search spaces of tabular NAS benchmarks
A Zela, J Siems, L Zimmer, J Lukasik, M Keuper, F Hutter
arXiv preprint arXiv:2008.09777, 2020
532020
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling
I Ezhov, K Scibilia, K Franitza, F Steinbauer, S Shit, L Zimmer, J Lipkova, ...
Medical Image Analysis 83, 102672, 2023
142023
NAS-Bench-301 and the case for surrogate benchmarks for neural architecture search.(2020)
J Siems, L Zimmer, A Zela, J Lukasik, M Keuper, F Hutter
arXiv preprint arXiv:2008.09777, 2020
52020
Auto-pytorch tabular: Multi-fidelity MetaLearning for efficient and robust AutoDLL. arXiv 2020
L Zimmer, M Lindauer, F Hutter
arXiv preprint arXiv:2006.13799, 2000
52000
Calibration of intensity spectra from fluorescent nuclear track detectors in clinical ion beams
A Verkhovtsev, L Zimmer, S Greilich
Radiation Measurements 121, 37-41, 2019
42019
Toward image-based personalization of glioblastoma therapy: A clinical and biological validation study of a novel, deep learning-driven tumor growth model
MC Metz, I Ezhov, JC Peeken, JA Buchner, J Lipkova, F Kofler, ...
Neuro-Oncology Advances 6 (1), vdad171, 2024
12024
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling
I Ezhov, M Rosier, L Zimmer, F Kofler, S Shit, JC Paetzold, K Scibilia, ...
Machine Learning for Health, 566-577, 2022
12022
Method, device and computer program for predicting a suitable configuration of a machine learning system for a training data set
A Zela, F Hutter, J Siems, L Zimmer
US Patent App. 16/950,570, 2021
12021
Casting the inverse problem as a database query. The case of personalized tumor growth modeling.
I Ezhov, M Rosier, L Zimmer, F Kofler, S Shit, J Paetzold, K Scibilia, ...
CoRR, 2022
2022
Schritt in Richtung personalisierter Strahlentherapie
MC Metz, L Zimmer, I Ezhov, J Peeken, JA Buchner, B Menze, B Wiestler, ...
57. Jahrestagung der Deutschen Gesellschaft für Neuroradiologie e. V., 71, 0
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