Sebastian Engelke

According to our database, Sebastian Engelke authored at least 10 papers between 2018 and 2026.

Collaborative distances:

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

2026

Extrapolation in Statistical Learning with Extreme Value Theory.

Sebastian Engelke, Nicola Gnecco, Anne Sabourin

CoRR, May, 2026

Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models.

Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister

J. Mach. Learn. Res., 2026

2025

Numerical models outperform AI weather forecasts of record-breaking extremes.

Zhongwei Zhang, Erich Fischer, Jakob Zscheischler, Sebastian Engelke

CoRR, August, 2025

Theoretical guarantees for neural estimators in parametric statistics.

Almut Rödder, Manuel Hentschel, Sebastian Engelke

CoRR, June, 2025

Extremal graphical modeling with latent variables via convex optimization.

Sebastian Engelke, Armeen Taeb

J. Mach. Learn. Res., 2025

2024

Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events.

Olivier C. Pasche, Jonathan Wider, Zhongwei Zhang, Jakob Zscheischler, Sebastian Engelke

CoRR, 2024

2023

Boosted Control Functions.

Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister

CoRR, 2023

2022

Rare-Event Simulation Without Variance Reduction: An Extreme Value Theory Approach.

Yuanlu Bai, Henry Lam, Sebastian Engelke

Proceedings of the Winter Simulation Conference, 2022

2018

Synergy Effect between Convolutional Neural Networks and the Multiplicity of SMILES for Improvement of Molecular Prediction.

Talia B. Kimber, Sebastian Engelke, Igor V. Tetko, Eric Bruno, Guillaume Godin

CoRR, 2018

Extreme Value Theory for Open Set Classification - GPD and GEV Classifiers.

Edoardo Vignotto, Sebastian Engelke

CoRR, 2018