Multiscale Neural Operators for Solving Time-Independent PDEs

1 code implementation • 10 Nov 2023 • Winfried Ripken, Lisa Coiffard, Felix Pieper, Sebastian Dziadzio

Time-independent Partial Differential Equations (PDEs) on large meshes pose significant challenges for data-driven neural PDE solvers.

Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation

1 code implementation • 22 Sep 2023 • Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick

This paper presents a methodological framework for training, self-optimising, and self-organising surrogate models to approximate and speed up multiobjective optimisation of technical systems based on multiphysics simulations.

Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models

1 code implementation • NeurIPS 2023 • Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes S. Otterbach, Martin Genzel

Generalized Additive Models (GAMs) have recently experienced a resurgence in popularity due to their interpretability, which arises from expressing the target value as a sum of non-linear transformations of the features.

Additive models Time Series