Active Multi-Information Source Bayesian Quadrature. - Alexandra Gessner; Javier Gonzalez; Maren Mahsereci (UAI, 2019)

Integrals over Gaussians under Linear Domain Constraints. - Alexandra Gessner; Oindrila Kanjilal; Philipp Hennig (AISTATS, 2020)

Bayesian Quadrature on Riemannian Data Manifolds. - Christian Fröhlich; Alexandra Gessner; Philipp Hennig; Bernhard Schölkopf; Georgios Arvanitidis (ICML, 2021)

High-Dimensional Gaussian Process Inference with Derivatives. - Filip de Roos; Alexandra Gessner; Philipp Hennig (ICML, 2021)

ProbNum: Probabilistic Numerics in Python. - Jonathan Wenger; Nicholas Krämer; Marvin Pförtner; Jonathan Schmidt 001; Nathanael Bosch; Nina Effenberger; Johannes Zenn; Alexandra Gessner; Toni Karvonen; François-Xavier Briol; Maren Mahsereci; Philipp Hennig (CoRR, 2021)

Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes. - Seth D. Axen; Alexandra Gessner; Christian Sommer 009; Nils Weitzel; Álvaro Tejero-Cantero (CoRR, 2022)

Numerical Integration as and for Probabilistic Inference. - Alexandra Gessner (2022)

Active learning for affinity prediction of antibodies. - Alexandra Gessner; Sebastian W. Ober; Owen Vickery; Dino Oglic; Talip Uçar (CoRR, 2024)

A Dictionary of Closed-Form Kernel Mean Embeddings. - François-Xavier Briol; Alexandra Gessner; Toni Karvonen; Maren Mahsereci (CoRR, 2025)