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Probabilistic Learning on Manifolds (PLoM) with Transient Diffusion Kernels

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Return of the Latent Space Cowboys: Rethinking the use of VAEs in Bayesian Optimisation over Structured Spaces

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Adaptive Sampling Methods for Inference involving Computationally Intensive Models

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Solving Roughly Forced Nonlinear PDEs via Misspecified Kernel Methods and Neural Networks

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Respecting the boundaries: Space-filling designs for surrogate modeling with boundary information

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Generative Bayesian Optimization for Structured Design

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Spotlight poster presentations 2

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A scalable approach to feasible sets estimation

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