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cs.LG2025
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…
cs.LG2024
A scalable generative model for dynamical system reconstruction from neuroimaging data
Eric Volkmann, Alena Brändle, Daniel Durstewitz +1
Data-driven inference of the generative dynamics underlying a set of observed time series is of growing interest in machine learning and the natural sciences. In neuroscience, such…