Alexandra Gessner

According to our database, Alexandra Gessner authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BOAT: Navigating the Sea of In Silico Predictors for Antibody Design via Multi-Objective Bayesian Optimization.

Jackie Rao, Ferran Gonzalez Hernandez, Leon Gerard, Alexandra Gessner

CoRR, April, 2026

2025

A Dictionary of Closed-Form Kernel Mean Embeddings.

François-Xavier Briol, Toni Karvonen, Alexandra Gessner, Maren Mahsereci

Proceedings of the First International Conference on Probabilistic Numerics (ProbNum 2025), 2025

2024

Active learning for affinity prediction of antibodies.

Alexandra Gessner, Sebastian W. Ober, Owen Vickery, Dino Oglic, Talip Uçar

CoRR, 2024

2022

Numerical Integration as and for Probabilistic Inference.

Alexandra Gessner

PhD thesis, 2022

Spatiotemporal modeling of European paleoclimate using doubly sparse Gaussian processes.

Seth D. Axen, Alexandra Gessner, Christian Sommer, Nils Weitzel, Álvaro Tejero-Cantero

CoRR, 2022

2021

ProbNum: Probabilistic Numerics in Python.

Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig

CoRR, 2021

High-Dimensional Gaussian Process Inference with Derivatives.

Filip de Roos, Alexandra Gessner, Philipp Hennig

Proceedings of the 38th International Conference on Machine Learning, 2021

Bayesian Quadrature on Riemannian Data Manifolds.

Christian Fröhlich, Alexandra Gessner, Philipp Hennig, Bernhard Schölkopf, Georgios Arvanitidis

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Integrals over Gaussians under Linear Domain Constraints.

Alexandra Gessner, Oindrila Kanjilal, Philipp Hennig

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Active Multi-Information Source Bayesian Quadrature.

Alexandra Gessner, Javier Gonzalez, Maren Mahsereci

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019