Our guest speaker is Tim Steinert from the University of Bern.

You are all cordially invited to the CVG Seminar on November 21st, 2025 at 2:45 pm CEST

• in person at the Institute of Computer Science: room 302, Neubrückstrasse 10, 3012 Bern
• via Zoom (passcode is 621775).

Abstract

We study the incorporation of equivariances into vector-valued GPs and more general classes of random field models. While kernels guaranteeing equivariances have been investigated previously, their evaluation is often computationally prohibitive due to required integrations over the involved groups. In this work, we provide a kernel characterization of stochastic equivariance for centred second-order vector-valued random fields and we construct integration-free equivariant kernels based on the notion of fundamental regions of group actions. We establish data-efficient and computationally lightweight GP models for velocity fields and molecular electric dipole moments and demonstrate that proposed integration-free kernels may also be leveraged to extract equivariant components from data.

Bio

Tim Steinert is a PhD student in statistics at the University of Bern, working in the research group of Prof. David Ginsbourger. His research focuses on kernel design and inference for Gaussian process models, with applications to equivariant modeling of molecular data. He holds a Master’s Degree in Applied Mathematics from ETH Zurich.