دنبال کردن
Lukas Ruff
Lukas Ruff
Aignostics
ایمیل تأیید شده در aignostics.com - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Deep One-Class Classification‏
L Ruff, R Vandermeulen, N Görnitz, L Deecke, SA Siddiqui, A Binder, ...‏
International Conference on Machine Learning 80, 4393-4402, 2018‏
27652018
A Unifying Review of Deep and Shallow Anomaly Detection‏
L Ruff, JR Kauffmann, RA Vandermeulen, G Montavon, W Samek, M Kloft, ...‏
Proceedings of the IEEE, 2021‏
11262021
Deep Semi-Supervised Anomaly Detection‏
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, KR Müller, ...‏
International Conference on Learning Representations, 2020‏
7842020
Image Anomaly Detection with Generative Adversarial Networks‏
L Deecke, R Vandermeulen, L Ruff, S Mandt, M Kloft‏
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018‏
3082018
Explainable Deep One-Class Classification‏
P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, M Kloft, KR Müller‏
International Conference on Learning Representations, 2021‏
2862021
From Clustering to Cluster Explanations via Neural Networks‏
J Kauffmann, M Esders, L Ruff, G Montavon, W Samek, KR Müller‏
IEEE Transactions on Neural Networks and Learning Systems, 1-15, 2022‏
1222022
Rethinking Assumptions in Deep Anomaly Detection‏
L Ruff, RA Vandermeulen, BJ Franks, KR Müller, M Kloft‏
ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning, 2021‏
1112021
Self-Attentive, Multi-Context One-Class Classification for Unsupervised Anomaly Detection on Text‏
L Ruff, Y Zemlyanskiy, R Vandermeulen, T Schnake, M Kloft‏
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019‏
942019
Toward explainable artificial intelligence for precision pathology‏
F Klauschen, J Dippel, P Keyl, P Jurmeister, M Bockmayr, A Mock, ...‏
Annual Review of Pathology: Mechanisms of Disease 19 (1), 541-570, 2024‏
582024
Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification‏
P Chong, L Ruff, M Kloft, A Binder‏
International Joint Conference on Neural Networks (IJCNN), 1-9, 2020‏
562020
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images‏
P Liznerski, L Ruff, RA Vandermeulen, BJ Franks, KR Müller, M Kloft‏
Transactions on Machine Learning Research, 2022‏
492022
Transfer-Based Semantic Anomaly Detection‏
L Deecke, L Ruff, RA Vandermeulen, H Bilen‏
International Conference on Machine Learning, 2546-2558, 2021‏
472021
The Clever Hans Effect in Anomaly Detection‏
J Kauffmann, L Ruff, G Montavon, KR Müller‏
arXiv preprint arXiv:2006.10609, 2020‏
432020
RudolfV: a foundation model by pathologists for pathologists‏
J Dippel, B Feulner, T Winterhoff, T Milbich, S Tietz, S Schallenberg, ...‏
arXiv preprint arXiv:2401.04079, 2024‏
332024
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology‏
M Aversa, G Nobis, M Hägele, K Standvoss, M Chirica, R Murray-Smith, ...‏
Advances in Neural Information Processing Systems 36, 78126-78141, 2023‏
252023
Deep Support Vector Data Description for Unsupervised and Semi-Supervised Anomaly Detection‏
L Ruff, RA Vandermeulen, N Görnitz, A Binder, E Müller, M Kloft‏
ICML 2019 Workshop on Uncertainty and Robustness in Deep Learning, 2019‏
222019
High-resolution molecular atlas of a lung tumor in 3D‏
TM Pentimalli, S Schallenberg, D León-Periñán, I Legnini, I Theurillat, ...‏
bioRxiv, 2023.05. 10.539644, 2023‏
112023
Deep Anomaly Detection by Residual Adaptation‏
L Deecke, L Ruff, RA Vandermeulen, H Bilen‏
arXiv preprint arXiv:2010.02310, 2020‏
82020
Deep One-Class Learning: A Deep Learning Approach to Anomaly Detection‏
L Ruff‏
Technische Universität Berlin, 2021‏
52021
Geometric Disentanglement by Random Convex Polytopes‏
M Joswig, M Kaluba, L Ruff‏
arXiv preprint arXiv:2009.13987, 2020‏
52020
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20