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ORCIDLucas Kook
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2020 – today
- 2024
[j6]Lucas Kook, Anton Rask Lundborg:
Algorithm-agnostic significance testing in supervised learning with multimodal data. Briefings Bioinform. 25(6) (2024)- [c1]David Rügamer, Chris Kolb, Tobias Weber, Lucas Kook, Thomas Nagler:
Generalizing Orthogonalization for Models with Non-Linearities. ICML 2024 - [i5]David Rügamer, Chris Kolb, Tobias Weber, Lucas Kook, Thomas Nagler:
Generalizing Orthogonalization for Models with Non-Linearities. CoRR abs/2405.02475 (2024) - [i4]Lucas Kook, Chris Kolb, Philipp Schiele, Daniel Dold, Marcel Arpogaus, Cornelius Fritz, Philipp F. M. Baumann, Philipp Kopper, Tobias Pielok, Emilio Dorigatti, David Rügamer:
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression. CoRR abs/2405.05429 (2024) - 2023
- [j5]David Rügamer, Chris Kolb, Cornelius Fritz, Florian Pfisterer, Philipp Kopper, Bernd Bischl, Ruolin Shen, Christina Bukas, Lisa Barros de Andrade e Sousa, Dominik Thalmeier, Philipp F. M. Baumann
, Lucas Kook, Nadja Klein, Christian L. Müller:
deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. J. Stat. Softw. 105(2) (2023) - [j4]Fernando Marmolejo-Ramos, Mauricio Tejo, Marek Brabec, Jakub Kuzilek, Srecko Joksimovic, Vitomir Kovanovic, Jorge González, Thomas Kneib, Peter Bühlmann, Lucas Kook, Guillermo Briseño-Sánchez, Raydonal Ospina:
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. WIREs Data Mining Knowl. Discov. 13(1) (2023) - 2022
- [j3]Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick:
Deep and interpretable regression models for ordinal outcomes. Pattern Recognit. 122: 108263 (2022) - [j2]Lucas Kook, Beate Sick, Peter Bühlmann:
Distributional anchor regression. Stat. Comput. 32(3): 39 (2022) - [i3]Lucas Kook, Andrea Götschi, Philipp F. M. Baumann, Torsten Hothorn, Beate Sick:
Deep interpretable ensembles. CoRR abs/2205.12729 (2022) - [i2]Gabriele Campanella, Lucas Kook, Ida Häggström, Torsten Hothorn, Thomas J. Fuchs:
Deep conditional transformation models for survival analysis. CoRR abs/2210.11366 (2022) - 2021
- [j1]Lucas Kook, Torsten Hothorn:
Regularized Transformation Models: The tramnet Package. R J. 13(1): 581 (2021) - 2020
- [i1]Lucas Kook, Lisa Herzog, Torsten Hothorn, Oliver Dürr, Beate Sick:
Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes. CoRR abs/2010.08376 (2020)
Coauthor Index
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