Learning Topometric Semantic Maps from Occupancy Grids. - Markus Hiller; Chen Qiu 001; Florian Particke; Christian Hofmann; Jörn Thielecke (IROS, 2019)

Deterministic Inference of Neural Stochastic Differential Equations. - Andreas Look; Chen Qiu 001; Maja Rudolph; Jan Peters 001; Melih Kandemir (CoRR, 2020)

Variational Dynamic Mixtures. - Chen Qiu 001; Stephan Mandt; Maja Rudolph (CoRR, 2020)

Neural Transformation Learning for Deep Anomaly Detection Beyond Images. - Chen Qiu 001; Timo Pfrommer; Marius Kloft; Stephan Mandt; Maja Rudolph (ICML, 2021)

Switching Recurrent Kalman Networks. - Giao Nguyen-Quynh; Philipp Becker; Chen Qiu 001; Maja Rudolph; Gerhard Neumann (CoRR, 2021)

History Marginalization Improves Forecasting in Variational Recurrent Neural Networks. - Chen Qiu 001; Stephan Mandt; Maja Rudolph (Entropy, 2021)

Latent Outlier Exposure for Anomaly Detection with Contaminated Data. - Chen Qiu 001; Aodong Li; Marius Kloft; Maja Rudolph; Stephan Mandt (ICML, 2022)

Raising the Bar in Graph-level Anomaly Detection. - Chen Qiu 001; Marius Kloft; Stephan Mandt; Maja Rudolph (IJCAI, 2022)

Detecting Anomalies within Time Series using Local Neural Transformations. - Tim Schneider; Chen Qiu 001; Marius Kloft; Decky Aspandi-Latif; Steffen Staab; Stephan Mandt; Maja Rudolph (CoRR, 2022)

Deep Anomaly Detection under Labeling Budget Constraints. - Aodong Li; Chen Qiu 001; Marius Kloft; Padhraic Smyth; Stephan Mandt; Maja Rudolph (ICML, 2023)

Zero-Shot Anomaly Detection via Batch Normalization. - Aodong Li; Chen Qiu 001; Marius Kloft; Padhraic Smyth; Maja Rudolph; Stephan Mandt (NeurIPS, 2023)

Zero-Shot Anomaly Detection without Foundation Models. - Aodong Li; Chen Qiu 001; Marius Kloft; Padhraic Smyth; Maja Rudolph; Stephan Mandt (CoRR, 2023)

Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data. - Clement Fung; Chen Qiu 001; Aodong Li; Maja Rudolph (CoRR, 2023)

Self-Supervised Anomaly Detection with Neural Transformations. - Chen Qiu 001 (2023)

Anomaly Detection of Tabular Data Using LLMs. - Aodong Li; Yunhan Zhao; Chen Qiu 001; Marius Kloft; Padhraic Smyth; Maja Rudolph; Stephan Mandt (CoRR, 2024)

Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior. - Lorenzo Perini; Maja Rudolph; Sabrina Schmedding; Chen Qiu 001 (Trans. Mach. Learn. Res., 2025)

Self-Supervised Anomaly Detection With Neural Transformations. - Chen Qiu 001; Marius Kloft; Stephan Mandt; Maja Rudolph (IEEE Trans. Pattern Anal. Mach. Intell., 2025)