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06/06/2023
Scalable Concept Extraction in Industry 4.0
The industry 4.0 is leveraging digital technologies and machine learning...
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03/08/2023
Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test
Machine learning and deep learning have been used extensively to classif...
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02/23/2023
Data-Driven Observability Analysis for Nonlinear Stochastic Systems
Distinguishability and, by extension, observability are key properties o...
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08/23/2022
Event-Triggered Time-Varying Bayesian Optimization
We consider the problem of sequentially optimizing a time-varying object...
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07/28/2022
Improving the Performance of Robust Control through Event-Triggered Learning
Robust controllers ensure stability in feedback loops designed under unc...
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05/25/2021
Safe Value Functions
The relationship between safety and optimality in control is not well un...
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02/02/2021
Symplectic Gaussian Process Dynamics
Dynamics model learning is challenging and at the same time an active fi...
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06/06/2020
Identifying Causal Structure in Dynamical Systems
We present a method for automatically identifying the causal structure o...
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04/23/2020
A Kernel Two-sample Test for Dynamical Systems
A kernel two-sample test is developed for deciding whether two dynamical...
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11/22/2019
Actively Learning Gaussian Process Dynamics
Despite the availability of ever more data enabled through modern sensor...
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05/27/2018
A Local Information Criterion for Dynamical Systems
Encoding a sequence of observations is an essential task with many appli...
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03/05/2018
