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ORCIDChen Qiu 0001
Person information
- affiliation: Bosch Center for Artificial Intelligence, Pittsburgh, PA, USA
- affiliation (PhD): RPTU Kaiserslautern-Landau, Germany
Other persons with the same name
- Chen Qiu — disambiguation page
- Chen Qiu 0002
![[0000-0002-1168-8053]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1168-8053")
— Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 1 more) - Chen Qiu 0003 — Harbin Institute of Technology, Department of Computer Science and Technology, Shenzhen, China
- Chen Qiu 0004 — Peng Cheng Laboratory, Department of Mathematics and Theories, Shenzhen, China (and 1 more)
- Chen Qiu 0005 — Wuhan University of Science and Technology, College of Computer Science and Technology, Wuhan, China
- Chen Qiu 0006 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Chen Qiu 0007 — University of Aizu, Graduate School of Computer Science and Engineering, Aizuwakamatsu, Japan
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2020 – today
- 2025
[j3]Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph:
Self-Supervised Anomaly Detection With Neural Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 47(3): 2170-2185 (2025)- [j2]Lorenzo Perini, Maja Rudolph, Sabrina Schmedding, Chen Qiu:
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior. Trans. Mach. Learn. Res. 2025 (2025) - 2024
- [i13]Lorenzo Perini, Maja Rudolph, Sabrina Schmedding, Chen Qiu:
Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior. CoRR abs/2405.13699 (2024) - [i12]Aodong Li, Yunhan Zhao, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt:
Anomaly Detection of Tabular Data Using LLMs. CoRR abs/2406.16308 (2024) - 2023
- [b1]Chen Qiu:
Self-Supervised Anomaly Detection with Neural Transformations. Kaiserslautern University of Technology, Germany, 2023 - [c6]Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph:
Deep Anomaly Detection under Labeling Budget Constraints. ICML 2023: 19882-19910 - [c5]Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt:
Zero-Shot Anomaly Detection via Batch Normalization. NeurIPS 2023 - [i11]Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph:
Deep Anomaly Detection under Labeling Budget Constraints. CoRR abs/2302.07832 (2023) - [i10]Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt:
Zero-Shot Anomaly Detection without Foundation Models. CoRR abs/2302.07849 (2023) - [i9]Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph:
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data. CoRR abs/2310.10461 (2023) - 2022
- [c4]Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt:
Latent Outlier Exposure for Anomaly Detection with Contaminated Data. ICML 2022: 18153-18167 - [c3]Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph:
Raising the Bar in Graph-level Anomaly Detection. IJCAI 2022: 2196-2203 - [i8]Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi-Latif, Steffen Staab, Stephan Mandt, Maja Rudolph:
Detecting Anomalies within Time Series using Local Neural Transformations. CoRR abs/2202.03944 (2022) - [i7]Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt:
Latent Outlier Exposure for Anomaly Detection with Contaminated Data. CoRR abs/2202.08088 (2022) - [i6]Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph:
Raising the Bar in Graph-level Anomaly Detection. CoRR abs/2205.13845 (2022) - 2021
- [j1]Chen Qiu, Stephan Mandt, Maja Rudolph:
History Marginalization Improves Forecasting in Variational Recurrent Neural Networks. Entropy 23(12): 1563 (2021) - [c2]Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph:
Neural Transformation Learning for Deep Anomaly Detection Beyond Images. ICML 2021: 8703-8714 - [i5]Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph:
Neural Transformation Learning for Deep Anomaly Detection Beyond Images. CoRR abs/2103.16440 (2021) - [i4]Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann:
Switching Recurrent Kalman Networks. CoRR abs/2111.08291 (2021) - 2020
- [i3]Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke:
Learning Topometric Semantic Maps from Occupancy Grids. CoRR abs/2001.03676 (2020) - [i2]Andreas Look, Chen Qiu, Maja Rudolph, Jan Peters, Melih Kandemir:
Deterministic Inference of Neural Stochastic Differential Equations. CoRR abs/2006.08973 (2020) - [i1]Chen Qiu, Stephan Mandt, Maja Rudolph:
Variational Dynamic Mixtures. CoRR abs/2010.10403 (2020)
2010 – 2019
- 2019
- [c1]Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke:
Learning Topometric Semantic Maps from Occupancy Grids. IROS 2019: 4190-4197
Coauthor Index
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