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Lorenz Linhardt
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2020 – today
- 2024
- [j2]Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon:
Preemptively pruning Clever-Hans strategies in deep neural networks. Inf. Fusion 103: 102094 (2024) - [i8]Lorenz Linhardt, Marco Morik, Sidney Bender, Naima Elosegui Borras:
An Analysis of Human Alignment of Latent Diffusion Models. CoRR abs/2403.08469 (2024) - [i7]Teresa Dorszewski, Lenka Tetková, Lorenz Linhardt, Lars Kai Hansen:
Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks. CoRR abs/2409.06362 (2024) - [i6]Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler:
Training objective drives the consistency of representational similarity across datasets. CoRR abs/2411.05561 (2024) - 2023
- [c4]Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi:
Drift Forensics of Malware Classifiers. AISec@CCS 2023: 197-207 - [c3]Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith:
Human alignment of neural network representations. ICLR 2023 - [c2]Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith:
Improving neural network representations using human similarity judgments. NeurIPS 2023 - [i5]Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon:
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks. CoRR abs/2304.05727 (2023) - [i4]Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith:
Improving neural network representations using human similarity judgments. CoRR abs/2306.04507 (2023) - 2022
- [i3]Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith:
Human alignment of neural network representations. CoRR abs/2211.01201 (2022) - 2020
- [c1]Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen:
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI 2020: 5612-5619
2010 – 2019
- 2019
- [i2]Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen:
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. CoRR abs/1902.00981 (2019) - 2018
- [j1]Thomas Mühlbacher, Lorenz Linhardt, Torsten Möller, Harald Piringer:
TreePOD: Sensitivity-Aware Selection of Pareto-Optimal Decision Trees. IEEE Trans. Vis. Comput. Graph. 24(1): 174-183 (2018) - [i1]Patrick Schwab, Lorenz Linhardt, Walter Karlen:
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. CoRR abs/1810.00656 (2018)
Coauthor Index
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