Beta-VAE Reproducibility: Challenges and Extensions. - Miroslav Fil; Munib Mesinovic; Matthew Morris; Jonas Wildberger (CoRR, 2021)

Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Michael Pürrer; Jonas Wildberger; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (CoRR, 2022)

Adapting to noise distribution shifts in flow-based gravitational-wave inference. - Jonas Wildberger; Maximilian Dax; Stephen R. Green; Jonathan Gair; Michael Pürrer; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (CoRR, 2022)

On the Interventional Kullback-Leibler Divergence. - Jonas Bernhard Wildberger; Siyuan Guo; Arnab Bhattacharyya 001; Bernhard Schölkopf (CLeaR, 2023)

Flow Matching for Scalable Simulation-Based Inference. - Jonas Wildberger; Maximilian Dax; Simon Buchholz; Stephen R. Green; Jakob H. Macke; Bernhard Schölkopf (NeurIPS, 2023)

Out-of-Variable Generalization. - Siyuan Guo; Jonas Wildberger; Bernhard Schölkopf (CoRR, 2023)

Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling. - Timothy D. Gebhard; Jonas Wildberger; Maximilian Dax; Daniel Angerhausen; Sascha P. Quanz; Bernhard Schölkopf (CoRR, 2023)

Out-of-Variable Generalisation for Discriminative Models. - Siyuan Guo; Jonas Bernhard Wildberger; Bernhard Schölkopf (ICLR, 2024)

Real-time gravitational-wave inference for binary neutron stars using machine learning. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Nihar Gupte; Michael Pürrer; Vivien Raymond; Jonas Wildberger; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (CoRR, 2024)

Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels. - Timothy D. Gebhard; Jonas Wildberger; Maximilian Dax; Annalena Kofler; Daniel Angerhausen; Sascha P. Quanz; Bernhard Schölkopf (CoRR, 2024)

Real-time inference for binary neutron star mergers using machine learning. - Maximilian Dax; Stephen R. Green; Jonathan Gair; Nihar Gupte; Michael Pürrer; Vivien Raymond; Jonas Wildberger; Jakob H. Macke; Alessandra Buonanno; Bernhard Schölkopf (Nat., 2025)

Adaptable Cardiovascular Disease Risk Prediction from Heterogeneous Data using Large Language Models. - Frederike Lübeck; Jonas Wildberger; Frederik Träuble; Maximilian Mordig; Sergios Gatidis; Andreas Krause 001; Bernhard Schölkopf (CoRR, 2025)