Ginsbourger, David

5 publications

TMLR 2025 Efficient Pooling of Predictions via Kernel Embeddings Sam Allen, David Ginsbourger, Johanna Ziegel

ICML 2025 Integration-Free Kernels for Equivariant Gaussian Process Modelling Tim Steinert, David Ginsbourger, August Lykke-Møller, Ove Christiansen, Henry Moss

NeurIPSW 2024 Integration-Free Kernels for Equivariant Gaussian Fields with Application in Dipole Moment Prediction Tim Steinert, David Ginsbourger, August Smart Lykke-Møller, Ove Christiansen, Henry Moss

AISTATS 2020 Kernels over Sets of Finite Sets Using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization Poompol Buathong, David Ginsbourger, Tipaluck Krityakierne

CoRL 2019 Learning from Demonstration with Model-Based Gaussian Process Noémie Jaquier, David Ginsbourger, Sylvain Calinon