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2020 – today
- 2025
[j1]Maximilian Dax, Stephen R. Green, Jonathan Gair, Nihar Gupte, Michael Pürrer, Vivien Raymond, Jonas Wildberger, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf:
Real-time inference for binary neutron star mergers using machine learning. Nat. 639(8053): 49-53 (2025)- 2024
- [c3]Siyuan Guo, Jonas Bernhard Wildberger, Bernhard Schölkopf:
Out-of-Variable Generalisation for Discriminative Models. ICLR 2024 - [i9]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 abs/2407.09602 (2024) - [i8]Timothy D. Gebhard, Jonas Wildberger, Maximilian Dax, Annalena Kofler, Daniel Angerhausen, Sascha P. Quanz, Bernhard Schölkopf:
Flow Matching for Atmospheric Retrieval of Exoplanets: Where Reliability meets Adaptive Noise Levels. CoRR abs/2410.21477 (2024) - 2023
- [c2]Jonas Bernhard Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf:
On the Interventional Kullback-Leibler Divergence. CLeaR 2023: 328-349 - [c1]Jonas Wildberger, Maximilian Dax, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf:
Flow Matching for Scalable Simulation-Based Inference. NeurIPS 2023 - [i7]Jonas Wildberger, Siyuan Guo, Arnab Bhattacharyya, Bernhard Schölkopf:
On the Interventional Kullback-Leibler Divergence. CoRR abs/2302.05380 (2023) - [i6]Siyuan Guo, Jonas Wildberger, Bernhard Schölkopf:
Out-of-Variable Generalization. CoRR abs/2304.07896 (2023) - [i5]Maximilian Dax, Jonas Wildberger, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf:
Flow Matching for Scalable Simulation-Based Inference. CoRR abs/2305.17161 (2023) - [i4]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 abs/2312.08295 (2023) - 2022
- [i3]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 abs/2210.05686 (2022) - [i2]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 abs/2211.08801 (2022) - 2021
- [i1]Miroslav Fil, Munib Mesinovic, Matthew Morris, Jonas Wildberger:
Beta-VAE Reproducibility: Challenges and Extensions. CoRR abs/2112.14278 (2021)
Coauthor Index
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