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Chen Qiu
Chen Qiu
Research Scientist, Bosch Center for AI
Подтвержден адрес электронной почты в домене us.bosch.com
Название
Процитировано
Процитировано
Год
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
962021
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
302022
Raising the Bar in Graph-level Anomaly Detection
C Qiu, M Kloft, S Mandt, M Rudolph
International Joint Conference on Artificial Intelligence, 2022
272022
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
272019
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
152022
Zero-shot anomaly detection via batch normalization
A Li, C Qiu, M Kloft, P Smyth, M Rudolph, S Mandt
Advances in Neural Information Processing Systems 36, 2024
5*2024
Deep anomaly detection under labeling budget constraints
A Li, C Qiu, M Kloft, P Smyth, S Mandt, M Rudolph
International Conference on Machine Learning, 19882-19910, 2023
42023
Switching recurrent Kalman networks
G Nguyen-Quynh, P Becker, C Qiu, M Rudolph, G Neumann
arXiv preprint arXiv:2111.08291, 2021
32021
Deterministic inference of neural stochastic differential equations
A Look, C Qiu, M Rudolph, J Peters, M Kandemir
Preprint at arXiv https://doi. org/10.48550/arXiv, 2006
32006
Forecasting with deep state space models
C Qiu, MR Rudolph
US Patent App. 17/407,621, 2022
22022
History marginalization improves forecasting in variational recurrent neural networks
C Qiu, S Mandt, M Rudolph
Entropy 23 (12), 1563, 2021
2*2021
Text-driven Prompt Generation for Vision-Language Models in Federated Learning
C Qiu, X Li, CK Mummadi, MR Ganesh, Z Li, L Peng, WY Lin
The Twelfth International Conference on Learning Representations, 2023
12023
Switching recurrent kalman network
G Nguyen, C Qiu, P Becker, M Rudolph, G Neumann
US Patent App. 17/516,330, 2023
12023
Self-Supervised Anomaly Detection with Neural Transformations
C Qiu
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, 2023
12023
Machine learned anomaly detection
C Qiu, MR Rudolph, T Pfrommer
US Patent App. 17/651,917, 2022
12022
Method and system for graph level anomaly detection
C Qiu, M Rudolph
US Patent App. 17/734,067, 2023
2023
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data
C Fung, C Qiu, A Li, M Rudolph
arXiv preprint arXiv:2310.10461, 2023
2023
Latent outlier exposure for anomaly detection
M Rudolph, C Qiu
US Patent App. 17/670,071, 2023
2023
Anomalous region detection with local neural transformations
M Rudolph, C Qiu, T Schneider
US Patent App. 17/372,204, 2023
2023
Data driven recognition of anomalies and continuation of sensor data
T Bu, C Qiu, MR Rudolph
US Patent App. 17/570,542, 2022
2022
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