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Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Related publications (29)

Gibbs sampling the posterior of neural networks

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In this paper, we study sampling from a posterior derived from a neural network. We propose a new probabilistic model consisting of adding noise at every pre- and post-activation in the network, arguing that the resulting posterior can be sampled using an ...

Iop Publishing Ltd2024

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Surrogate-based optimization is widely used for aerodynamic shape optimization, and its effectiveness depends on representative sampling of the design space. However, traditional sampling methods are hard-pressed to effectively sample high-dimensional desi ...

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Springer International Publishing Ag2024

Gibbs sampling the posterior of neural networks

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Iop Publishing Ltd2024

DiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization

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2024

Identification of typical district configurations: A two-step global sensitivity analysis framework

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Pergamon-Elsevier Science Ltd2024

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A large variety of new physics models suggest that the rates for lepton flavour violating

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EPFL2024

Interpolation and Quantifiers in Ortholattices

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Springer International Publishing Ag2024

Interpolation and Quantifiers in Ortholattices

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We study quantifiers and interpolation properties in ortho- logic, a non-distributive weakening of classical logic that is sound for formula validity with respect to classical logic, yet has a quadratic-time decision procedure. We present a sequent-based p ...

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An immersive virtual reality tool for assessing left and right unilateral spatial neglect

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