Chen Qiu
Chen Qiu
Bosch Center for Artificial Intelligence (BCAI)
Verified email at
Cited by
Cited by
Neural transformation learning for deep anomaly detection beyond images
C Qiu, T Pfrommer, M Kloft, S Mandt, M Rudolph
International Conference on Machine Learning, 8703-8714, 2021
Learning topometric semantic maps from occupancy grids
M Hiller, C Qiu, F Particke, C Hofmann, J Thielecke
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
C Qiu, A Li, M Kloft, M Rudolph, S Mandt
International Conference on Machine Learning, 18153-18167, 2022
Raising the Bar in Graph-level Anomaly Detection
C Qiu, M Kloft, S Mandt, M Rudolph
International Joint Conference on Artificial Intelligence, 2022
Detecting anomalies within time series using local neural transformations
T Schneider, C Qiu, M Kloft, DA Latif, S Staab, S Mandt, M Rudolph
arXiv preprint arXiv:2202.03944, 2022
History Marginalization Improves Forecasting in Variational Recurrent Neural Networks
C Qiu, S Mandt, M Rudolph
Entropy 23 (12), 1563, 2021
Switching Recurrent Kalman Networks
G Nguyen-Quynh, P Becker, C Qiu, M Rudolph, G Neumann
arXiv preprint arXiv:2111.08291, 2021
Deterministic inference of neural stochastic differential equations
A Look, C Qiu, M Rudolph, J Peters, M Kandemir
arXiv preprint arXiv:2006.08973, 2020
Switching recurrent kalman network
G Nguyen, C Qiu, P Becker, M Rudolph, G Neumann
US Patent App. 17/516,330, 2023
Zero-Shot Anomaly Detection without Foundation Models
A Li, C Qiu, M Kloft, P Smyth, M Rudolph, S Mandt
arXiv preprint arXiv:2302.07849, 2023
Deep Anomaly Detection under Labeling Budget Constraints
A Li, C Qiu, P Smyth, M Kloft, S Mandt, M Rudolph
arXiv preprint arXiv:2302.07832, 2023
Deep Active Anomaly Detection With Diverse Queries
A Li, C Qiu, P Smyth, M Kloft, S Mandt, M Rudolph
Anomalous region detection with local neural transformations
M Rudolph, C Qiu, T Schneider
US Patent App. 17/372,204, 2023
Machine learned anomaly detection
C Qiu, MR Rudolph, T Pfrommer
US Patent App. 17/651,917, 2022
Data driven recognition of anomalies and continuation of sensor data
T Bu, C Qiu, MR Rudolph
US Patent App. 17/570,542, 2022
Forecasting with deep state space models
C Qiu, MR Rudolph
US Patent App. 17/407,621, 2022
Predicting a state of a computer-controlled entity
A Look, C Qiu, M Kandemir
US Patent App. 17/231,757, 2021
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