Jonas Wildberger

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Importance Sampling

Top Venues

Publications

Maximilian Dax, Stephen R. Green, Jonathan Gair, Nihar Gupte, Michael Pürrer, Vivien Raymond, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
Real-time gravitational-wave inference for binary neutron stars using machine learning. CoRR (2024)
Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf
Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling. CoRR (2023)
Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf
Out-of-Variable Generalization. CoRR (2023)
Jonas Wildberger, Maximilian Dax, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf
Flow Matching for Scalable Simulation-Based Inference. NeurIPS (2023)
Maximilian Dax, Jonas Wildberger, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf
Flow Matching for Scalable Simulation-Based Inference. CoRR (2023)
Jonas Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf
On the Interventional Kullback-Leibler Divergence. CoRR (2023)
Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. CoRR (2022)
Jonas Wildberger, Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
Adapting to noise distribution shifts in flow-based gravitational-wave inference. CoRR (2022)
Miroslav Fil, Munib Mesinovic, Matthew Morris, Jonas Wildberger
Beta-VAE Reproducibility: Challenges and Extensions. CoRR (2021)