Lorenz Linhardt

21 papers A* 4Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Breaking Out from the TESSERACT: Reassessing ML-based Malware Detection under Spatio-Temporal Drift. CoRR Theo Chow, Mario D'Onghia, Lorenz Linhardt, Zeliang Kan, Daniel Arp, Lorenzo Cavallaro, Fabio Pierazzi
2025	J	`jnl`	Cat, Rat, Meow: On the Alignment of Language Model and Human Term-Similarity Judgments. CoRR Lorenz Linhardt, Tom Neuhäuser, Lenka Tetková, Oliver Eberle
2025	J	`jnl`	Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism. Artif. Intell. Law Christoph Engel, Lorenz Linhardt, Marcel Schubert
2025	—	`conf`	Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks. NLDL Teresa Dorszewski, Lenka Tetková, Lorenz Linhardt, Lars Kai Hansen
2025	J	`jnl`	Correction to: Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism. Artif. Intell. Law Christoph Engel, Lorenz Linhardt, Marcel Schubert
2025	J	`jnl`	Latent Diffusion U-Net Representations Contain Positional Embeddings and Anomalies. CoRR Jonas Loos, Lorenz Linhardt
2025	A*	`conf`	Objective drives the consistency of representational similarity across datasets. ICML Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
2024	J	`jnl`	An Analysis of Human Alignment of Latent Diffusion Models. CoRR Lorenz Linhardt, Marco Morik, Sidney Bender, Naima Elosegui Borras
2024	J	`jnl`	Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks. CoRR Teresa Dorszewski, Lenka Tetková, Lorenz Linhardt, Lars Kai Hansen
2024	J	`jnl`	Preemptively pruning Clever-Hans strategies in deep neural networks. Inf. Fusion Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
2024	J	`jnl`	Training objective drives the consistency of representational similarity across datasets. CoRR Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler
2023	—	`conf`	Drift Forensics of Malware Classifiers. AISec@CCS Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi
2023	A*	`conf`	Human alignment of neural network representations. ICLR Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
2023	A*	`conf`	Improving neural network representations using human similarity judgments. NeurIPS Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
2023	J	`jnl`	Improving neural network representations using human similarity judgments. CoRR Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A. Vandermeulen, Katherine L. Hermann, Andrew K. Lampinen, Simon Kornblith
2023	J	`jnl`	Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks. CoRR Lorenz Linhardt, Klaus-Robert Müller, Grégoire Montavon
2022	J	`jnl`	Human alignment of neural network representations. CoRR Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, Simon Kornblith
2020	A*	`conf`	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. AAAI Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2019	J	`jnl`	Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. CoRR Patrick Schwab, Lorenz Linhardt, Stefan Bauer, Joachim M. Buhmann, Walter Karlen
2018	J	`jnl`	Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks. CoRR Patrick Schwab, Lorenz Linhardt, Walter Karlen
2018	J	`jnl`	TreePOD: Sensitivity-Aware Selection of Pareto-Optimal Decision Trees. IEEE Trans. Vis. Comput. Graph. Thomas Mühlbacher, Lorenz Linhardt, Torsten Möller, Harald Piringer