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Eric Volkmann

2 accepted papers

2025

Geometry-Informed Neural Networks

ICML 2025poster

Geometry is a ubiquitous tool in computer graphics, design, and engineering. However, the lack of large shape datasets limits the application of state-of-the-art supervised learning methods and motivates the exploration of alternative learning strategies. To this end, we introduce geometry-informed…

2024

A scalable generative model for dynamical system reconstruction from neuroimaging data

NeurIPS 2024poster

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 methods promise to alleviate the need to handcraft models based on biophysical principles and allow to automatize the i…