| Learning counterfactual representations for estimating individual dose-response curves P Schwab, L Linhardt, S Bauer, JM Buhmann, W Karlen AAAI Conference on Artificial Intelligence, 2020 | 158 | 2020 |
| Perfect match: A simple method for learning representations for counterfactual inference with neural networks P Schwab, L Linhardt, W Karlen arXiv preprint arXiv:1810.00656, 2018 | 132 | 2018 |
| Human alignment of neural network representations L Muttenthaler, J Dippel, L Linhardt, RA Vandermeulen, S Kornblith International Conference on Learning Representations (ICLR) 11, 2023 | 79 | 2023 |
| TreePOD: Sensitivity-aware selection of pareto-optimal decision trees T Mühlbacher, L Linhardt, T Möller, H Piringer IEEE Transactions on Visualization and Computer Graphics 24 (1), 174-183, 2017 | 69 | 2017 |
| VISION–Vienna survey in Orion-III. Young stellar objects in Orion A JE Großschedl, J Alves, PS Teixeira, H Bouy, J Forbrich, CJ Lada, ... Astronomy & Astrophysics 622, A149, 2019 | 58 | 2019 |
| Improving neural network representations using human similarity judgments L Muttenthaler, L Linhardt, J Dippel, RA Vandermeulen, K Hermann, ... Advances in Neural Information Processing Systems 36, 50978-51007, 2023 | 34 | 2023 |
| Code is law: how COMPAS affects the way the judiciary handles the risk of recidivism C Engel, L Linhardt, M Schubert Artificial Intelligence and Law, 1-22, 2024 | 19 | 2024 |
| Drift forensics of malware classifiers T Chow, Z Kan, L Linhardt, L Cavallaro, D Arp, F Pierazzi Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 10 | 2023 |
| Preemptively pruning Clever-Hans strategies in deep neural networks L Linhardt, KR Müller, G Montavon Information Fusion 103, 102094, 2024 | 9 | 2024 |
| An Analysis of Human Alignment of Latent Diffusion Models L Linhardt, M Morik, S Bender, NE Borras ICLR Workshop on Representational Alignment, 2024 | 2 | 2024 |
| Connecting Concept Convexity and Human-Machine Alignment in Deep Neural Networks T Dorszewski, L Tětková, L Linhardt, LK Hansen Proceedings of the 6th Northern Lights Deep Learning Conference (NLDL) 265 …, 2025 | | 2025 |
| Training objective drives the consistency of representational similarity across datasets L Ciernik, L Linhardt, M Morik, J Dippel, S Kornblith, L Muttenthaler arXiv preprint arXiv:2411.05561, 2024 | | 2024 |
Patrick SchwabGSKยืนยันอีเมลแล้วที่ hest.ethz.ch