8 citations · 8 across the 1 of their papers we have counts for
3 papers
cs.LG2022★ 8 cited
Detecting Anomalies within Time Series using Local Neural Transformations
Tim Schneider, Chen Qiu, Marius Kloft +4
We develop a new method to detect anomalies within time series, which is essential in many application domains, reaching from self-driving cars, finance, and marketing to medical d…
cs.LG2020
Variational Dynamic Mixtures
Chen Qiu, Stephan Mandt, Maja Rudolph
Deep probabilistic time series forecasting models have become an integral part of machine learning. While several powerful generative models have been proposed, we provide evidence…
cs.CV2020
Learning Topometric Semantic Maps from Occupancy Grids
Markus Hiller, Chen Qiu, Florian Particke +2
Today's mobile robots are expected to operate in complex environments they share with humans. To allow intuitive human-robot collaboration, robots require a human-like understandin…