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- Journal Article
- A1
- open access
The hyperdimensional transform : a holographic representation of functions
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- Journal Article
- open access
Fast field strength prediction using modern machine learning in European cities from few RF-EMF measurements: a neural tangent kernel perspective
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- Journal Article
- A1
- open access
Energy-based exploration for reinforcement learning of underactuated mechanical systems
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- Journal Article
- A1
- open access
The proactive base stock policy for condition based maintenance
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Diffusion-based reinforcement learning for flexibility improvement in energy management systems
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- PhD Thesis
- open access
Upper expectations for discrete-time imprecise stochastic processes : in practice, they are all the same!
(2022) -
On moment estimation from polynomial chaos expansion models
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- Journal Article
- A1
- open access
Spatial correlation in indoor massive MIMO : measurements and ray tracing
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- Journal Article
- A1
- open access
A perturbative stochastic Galerkin method for the uncertainty quantification of linear circuits
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Uncertainty quantification of waveguide dispersion using sparse grid stochastic testing