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88 papers
Embedding of sub-stochastic matrices
Michael Baake, Kiah Swinsburg
The classic embedding problem for finite-dimensional Markov matrices has a natural counterpart for sub-stochastic matrices, which is analysed and discussed here. One necessary and…
Scene-aware Prediction of Diverse Human Movement Goals
Qiaoyue Yang, Amadeus Weber, Magnus Jung +2
Anticipation of human behaviours facilitates autonomous systems in proactive planning. Human behaviour could be stochastic due to varying goals. Human goals typically guide their o…
Long-Term Prediction of Local and Global Human Motion with Occlusion Recovery
Qiaoyue Yang, Sven Heutger, Christopher Niemann +3
Human motion describes the three-dimensional full-body movement of a person. Anticipating such motion holds significant relevance across a wide range of application domains such as…
Cubic magneto-optic Kerr effect in Co(111) thin films
Maik Gaerner, Robin Silber, Malte Schäffer +4
The magneto-optic Kerr effect (MOKE) is often applied as a tool for the magnetic characterization of thin films. Here, the change in polarization upon reflection from the magnetize…
A Practical Guide to Streaming Continual Learning
Andrea Cossu, Federico Giannini, Giacomo Ziffer +5
Continual Learning (CL) and Streaming Machine Learning (SML) study the ability of agents to learn from a stream of non-stationary data. Despite sharing some similarities, they addr…
Drift Localization using Conformal Predictions
Fabian Hinder, Valerie Vaquet, Johannes Brinkrolf +1
Concept drift -- the change of the distribution over time -- poses significant challenges for learning systems and is of central interest for monitoring. Understanding drift is thu…