Jonas Wildberger

13 papers A* 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptable Cardiovascular Disease Risk Prediction from Heterogeneous Data using Large Language Models. CoRR Frederike Lübeck, Jonas Wildberger, Frederik Träuble, Maximilian Mordig, Sergios Gatidis, Andreas Krause, Bernhard Schölkopf
2025	J	`jnl`	Flexible Gravitational-Wave Parameter Estimation with Transformers. CoRR Annalena Kofler, Maximilian Dax, Stephen R. Green, Jonas Wildberger, Nihar Gupte, Jakob H. Macke, Jonathan Gair, Alessandra Buonanno, Bernhard Schölkopf
2025	J	`jnl`	Real-time inference for binary neutron star mergers using machine learning. Nat. Maximilian Dax, Stephen R. Green, Jonathan Gair, Nihar Gupte, Michael Pürrer, Vivien Raymond, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
2024	J	`jnl`	Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels. CoRR Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Annalena Kofler, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf
2024	J	`jnl`	Real-time gravitational-wave inference for binary neutron stars using machine learning. CoRR Maximilian Dax, Stephen R. Green, Jonathan Gair, Nihar Gupte, Michael Pürrer, Vivien Raymond, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
2023	A*	`conf`	Flow Matching for Scalable Simulation-Based Inference. NeurIPS Jonas Wildberger, Maximilian Dax, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf
2023	J	`jnl`	Flow Matching for Scalable Simulation-Based Inference. CoRR Maximilian Dax, Jonas Wildberger, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf
2023	J	`jnl`	Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling. CoRR Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf
2023	J	`jnl`	On the Interventional Kullback-Leibler Divergence. CoRR Jonas Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf
2023	J	`jnl`	Out-of-Variable Generalization. CoRR Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf
2022	J	`jnl`	Adapting to noise distribution shifts in flow-based gravitational-wave inference. CoRR Jonas Wildberger, Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
2022	J	`jnl`	Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. CoRR Maximilian Dax, Stephen R. Green, Jonathan Gair, Michael Pürrer, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
2021	J	`jnl`	Beta-VAE Reproducibility: Challenges and Extensions. CoRR Miroslav Fil, Munib Mesinovic, Matthew Morris, Jonas Wildberger