15 citations · 20 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Einstein Fields: A Neural Perspective To Computational General Relativity
Sandeep Suresh Cranganore, Andrei Bodnar, Arturs Berzins +1
We introduce Einstein Fields, a neural representation designed to compress computationally intensive four-dimensional numerical relativity simulations into compact implicit neural…
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…