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Contribution to a conference proceedings/Journal Article PUBDB-2022-05027

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Augmenting basis sets by normalizing flows

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2023
Wiley-VCH Weinheim

92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics, (GAMM), AachenAachen, Germany, 15 Aug 2022 - 19 Aug 20222022-08-152022-08-19 Proceedings in applied mathematics and mechanics 23(1), e202200239 () [10.1002/pamm.202200239] special issue: "Special Issue: 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)"
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Abstract: Approximating functions in the linear span of truncated basis sets is a fundamental process in mathematical modelling with applications mainly to solving differential and integral equations. Such approximation schemes typically have nice properties such as the existence of convergence guarantees and the analysis of their order of convergence. However, these schemes generally suffer from the curse of dimensionality and their approximation capabilities are limited when the objective functions are highly oscillatory. Nonlinear approximators, e.g., neural networks, were proven to be very efficient in approximating high-dimensional functions. However, the lack of convergence guarantees for these models makes them less reliable in solving differential equations. Here, we investigate nonlinear approximators that are constructed by composing standard basis sets with normalizing flows. We showed that such models define a richer approximation space and conserve the density properties of the initial basis set. Simulations to approximate eigenfunctions of a perturbed quantum harmonic oscillator indicate convergence with the size of the basis set.

Keyword(s): Numerical Analysis (math.NA) ; FOS: Mathematics ; G.1 ; 65K99

Classification:

Contributing Institute(s):
  1. CFEL-CMI (FS-CFEL-CMI)
  2. beauftragt von UNI (UNI/CUI)
  3. Uni Hamburg / Experimentalphysik (UNI/EXP)
Research Program(s):
  1. 631 - Matter – Dynamics, Mechanisms and Control (POF4-631) (POF4-631)
  2. HIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter (2019_IVF-HIDSS-0002) (2019_IVF-HIDSS-0002)
  3. DFG project 390715994 - EXC 2056: CUI: Advanced Imaging of Matter (390715994) (390715994)
Experiment(s):
  1. No specific instrument

Appears in the scientific report 2023
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Medline ; Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess ; DEAL Wiley ; Ebsco Academic Search
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Augmenting Basis Sets by Normalizing Flows
[10.48550/ARXIV.2212.01383]  GO arXiv  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS


 Record created 2022-10-05, last modified 2025-07-15


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