5 papers
Neural surrogates for designing gravitational wave detectors
Carlos Ruiz-Gonzalez, Sören Arlt, Sebastian Lehner +5
Physics simulators are essential in science and engineering, enabling the analysis, control, and design of complex systems. In experimental sciences, they are increasingly used to…
Shape Generation via Weight Space Learning
Maximilian Plattner, Arturs Berzins, Johannes Brandstetter
Foundation models for 3D shape generation have recently shown a remarkable capacity to encode rich geometric priors across both global and local dimensions. However, leveraging the…
Diverse Topology Optimization using Modulated Neural Fields
Andreas Radler, Eric Volkmann, Johannes Brandstetter +1
Topology optimization (TO) is a family of computational methods that derive near-optimal geometries from formal problem descriptions. Despite their success, established TO methods…
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision
Arturs Berzins
A neural network consisting of piecewise affine building blocks, such as fully-connected layers and ReLU activations, is itself a piecewise affine function supported on a polyhedra…
Standardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems
Artūrs Bērziņš, Jan Helmig, Fabian Key +1
In recent years, numerical methods in industrial applications have evolved from a pure predictive tool towards a means for optimization and control. Since standard numerical analys…