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Jakob Richter
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2020 – today
- 2024
- [i7]Jakob Richter, Jonas Nitzler, Luca Pegolotti, Karthik Menon, Jonas Biehler, Wolfgang A. Wall, Daniele E. Schiavazzi, Alison L. Marsden, Martin R. Pfaller:
Bayesian Windkessel calibration using optimized 0D surrogate models. CoRR abs/2404.14187 (2024) - 2023
- [j6]Florian Karl
, Tobias Pielok
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3(4): 16:1-16:50 (2023) - [j5]Bernd Bischl
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. WIREs Data. Mining. Knowl. Discov. 13(2) (2023) - [i6]Maximilian J. Grill, Jonas Biehler, Karl-Robert Wichmann, David Rudlstorfer, Maximilian Rixner, Marie Brei, Jakob Richter, Joshua Bügel, Nina Pischke, Wolfgang A. Wall, Kei W. Müller:
In silico high-resolution whole lung model to predict the locally delivered dose of inhaled drugs. CoRR abs/2307.04757 (2023) - [i5]John D. Lee, Jakob Richter, Martin R. Pfaller, Jason M. Szafron, Karthik Menon, Andrea Zanoni, Michael R. Ma, Jeffrey A. Feinstein, Jacqueline Kreutzer, Alison L. Marsden, Daniele E. Schiavazzi:
A Probabilistic Neural Twin for Treatment Planning in Peripheral Pulmonary Artery Stenosis. CoRR abs/2312.00854 (2023) - 2022
- [p1]Jörg Rahnenführer, Michel Lang
Survival Prediction and Model Selection. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 71-84 - [i4]Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter
Multi-Objective Hyperparameter Optimization - An Overview. CoRR abs/2206.07438 (2022) - 2021
- [j4]Junjie Shi
MODES: model-based optimization on distributed embedded systems. Mach. Learn. 110(6): 1527-1547 (2021) - [i3]Bernd Bischl, Martin Binder, Michel Lang
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges. CoRR abs/2107.05847 (2021) - 2020
- [b1]Jakob Richter
Extending model-based optimization with resource-aware parallelization and for dynamic optimization problems. Dortmund University, Germany, 2020 - [c3]Jakob Richter, Junjie Shi, Jian-Jia Chen
Model-based optimization with concept drifts. GECCO 2020: 877-885
2010 – 2019
- 2019
- [j3]Jakob Richter
Model-based optimization of subgroup weights for survival analysis. Bioinform. 35(14): i484-i491 (2019) - [j2]Michel Lang
mlr3: A modern object-oriented machine learning framework in R. J. Open Source Softw. 4(44): 1903 (2019) - [d1]Michel Lang
mlr3: A modern object-oriented machine learning framework in R. Zenodo, 2019 - 2018
- [i2]Patrick Schratz, Jannes Muenchow
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data. CoRR abs/1803.11266 (2018) - 2017
- [c2]Helena Kotthaus, Jakob Richter
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization. LION 2017: 180-195 - 2016
- [j1]Bernd Bischl, Michel Lang, Lars Kotthoff, Julia Schiffner, Jakob Richter, Erich Studerus, Giuseppe Casalicchio, Zachary M. Jones:
mlr: Machine Learning in R. J. Mach. Learn. Res. 17: 170:1-170:5 (2016) - [c1]Jakob Richter
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies. LION 2016: 267-273 - [i1]Julia Schiffner, Bernd Bischl, Michel Lang, Jakob Richter, Zachary M. Jones, Philipp Probst, Florian Pfisterer, Mason Gallo, Dominik Kirchhoff, Tobias Kühn, Janek Thomas, Lars Kotthoff:
mlr Tutorial. CoRR abs/1609.06146 (2016)
Coauthor Index
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