7–11 Sept 2026
Humboldt Universität zu Berlin
Europe/Berlin timezone

Learning the Willmore flow with lightweight neural operators

8 Sept 2026, 11:30
30m
DOR24/Floor 1-Room 103 - Lecture Hall (HU (Hegelplatz))

DOR24/Floor 1-Room 103 - Lecture Hall

HU (Hegelplatz)

HU Berlin Dorotheenstrasse 24 (Hegelplatz) 10117 Berlin
80
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Free Boundary Problems in Data Science and Machine Learning Free Boundary Problems in Data Science and Machine Learning

Speaker

Simon Masnou (Université Lyon 1)

Description

The talk will focus on neural operators with few parameters for approximating the Willmore flow of oriented or non-oriented interfaces in space dimensions 2 and 3.
The proposed neural networks are trained on implicit representations of interfaces evolving by Willmore flow.
Various numerical simulations will be presented, together with applications to curve and surface reconstruction from point clouds.
This is joint work with Elie Bretin (INSA Lyon), Roland Denis (CNRS & U. Lyon 1), and Tokuhiro Eto (CNRS).

Author

Simon Masnou (Université Lyon 1)

Co-authors

Elie Bretin (INSA Lyon) Roland Denis (CNRS & U. Lyon 1) Tokuhiro Eto (CNRS)

Presentation materials

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