Media Summary: Recent advances in highly deformable structures necessitate simulation tools that can capture Accurate prediction of the thermospheric density field has recently been gaining a lot of attention, due to an outstanding increase ... Presentation for the Machine Learning and the Physical Sciences Workshop at NeurIPS 2023.

Ddps Efficient Nonlinear Manifold Reduced Order Model - Detailed Analysis & Overview

Recent advances in highly deformable structures necessitate simulation tools that can capture Accurate prediction of the thermospheric density field has recently been gaining a lot of attention, due to an outstanding increase ... Presentation for the Machine Learning and the Physical Sciences Workshop at NeurIPS 2023. BIGMECA workshop 2021 Nov 18th, talk of Yungsoo Choi. This is the presentation I gave at WCCM-APCOM Yokohama 2022 ( ). I talked about various ... Description: Many engineering tasks, such as parametric study and uncertainty quantification, require rapid and reliable solution ...

NODY Webinar, February 22, 2024. DOI: I discuss a recent dynamical-systems-based ... Bistability in a context-dependent decision-making task explained by a Speaker: Robert Szalai, University of Bristol Date: September 28th, 2022 Abstract: ...

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Nonlinear methods for reduced-order modeling of the Thermospheric density field
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Nonlinear-manifold reduced order models with domain decomposition (ML4PS Workshop, NeurIPS 2023).
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[WCCM2022] Nonlinear manifold to component-wise reduced order models towards multi-scale problems
Reduced Order Modeling: Applications and Techniques for Creating ROMs
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