適用於公開取用強制性政策的文章 - Jens Behrmann瞭解詳情
在某個資料庫公開的文章：7
Invertible residual networks
J Behrmann, W Grathwohl, RTQ Chen, D Duvenaud, JH Jacobsen
Proceedings of the 36th International Conference on Machine Learning (ICML …, 2019
授權規定： German Research Foundation
Residual flows for invertible generative modeling
RTQ Chen, J Behrmann, DK Duvenaud, JH Jacobsen
Advances in Neural Information Processing Systems, 9916-9926, 2019
授權規定： German Research Foundation
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
F Tramèr, J Behrmann, N Carlini, N Papernot, JH Jacobsen
arXiv preprint arXiv:2002.04599, 2020
授權規定： Swiss National Science Foundation
Deep learning for tumor classification in imaging mass spectrometry
J Behrmann, C Etmann, T Boskamp, R Casadonte, J Kriegsmann, P Maaβ
Bioinformatics 34 (7), 1215-1223, 2018
授權規定： German Research Foundation, Federal Ministry of Education and Research, Germany
Understanding and mitigating exploding inverses in invertible neural networks
J Behrmann, P Vicol, KC Wang, R Grosse, JH Jacobsen
International Conference on Artificial Intelligence and Statistics, 1792-1800, 2021
授權規定： German Research Foundation
Robust subtyping of non‐small cell lung cancer whole sections through MALDI mass spectrometry imaging
C Janßen, T Boskamp, L Hauberg‐Lotte, J Behrmann, SO Deininger, ...
PROTEOMICS–Clinical Applications, 2100068, 2022
授權規定： Federal Ministry of Education and Research, Germany
Analysis of Invariance and Robustness via Invertibility of ReLU-Networks
J Behrmann, S Dittmer, P Fernsel, P Maaß
arXiv preprint arXiv:1806.09730, 2018
授權規定： German Research Foundation
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