| Neural importance sampling for rapid and reliable gravitational-wave inference M Dax, SR Green, J Gair, M Pürrer, J Wildberger, JH Macke, A Buonanno, ... Physical Review Letters 130 (17), 171403, 2023 | 49 | 2023 |
| Adapting to noise distribution shifts in flow-based gravitational-wave inference J Wildberger, M Dax, SR Green, J Gair, M Pürrer, JH Macke, A Buonanno, ... Physical Review D 107 (8), 084046, 2023 | 11 | 2023 |
| beta-VAE reproducibility: Challenges and extensions M Fil, M Mesinovic, M Morris, J Wildberger arXiv preprint arXiv:2112.14278, 2021 | 7 | 2021 |
| Flow Matching for Scalable Simulation-Based Inference J Wildberger, M Dax, S Buchholz, S Green, JH Macke, B Schölkopf Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Flow Matching for Scalable Simulation-Based Inference M Dax, J Wildberger, S Buchholz, SR Green, JH Macke, B Schölkopf arXiv preprint arXiv:2305.17161, 2023 | 3 | 2023 |
| On the Interventional Kullback-Leibler Divergence J Wildberger, S Guo, A Bhattacharyya, B Schölkopf 2nd Conference on Causal Learning and Reasoning (CLeaR) , April 2023, 2023 | 3 | 2023 |
| Out-of-variable generalization S Guo, J Wildberger, B Schölkopf arXiv preprint arXiv:2304.07896, 2023 | 2 | 2023 |
| Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling TD Gebhard, J Wildberger, M Dax, D Angerhausen, SP Quanz, ... arXiv preprint arXiv:2312.08295, 2023 | 1 | 2023 |
| Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA N Gupte, A Ramos-Buades, A Buonanno, J Gair, MC Miller, M Dax, ... arXiv preprint arXiv:2404.14286, 2024 | | 2024 |
| Flow Matching for Scalable Simulation-Based Inference D Maximilian, J Wildberger, S Buchholz, SR Green, B Schölkopf arXiv, 2023 | | 2023 |
| Out-of-Variable Generalisation for Discriminative Models S Guo, JB Wildberger, B Schölkopf The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Addressing out-of-distribution data for flow-based gravitational wave inference M Dax, SR Green, J Wildberger, J Gair, M Pürrer, JH Macke, A Buonanno, ... Machine Learning and the Physical Sciences Workshop at the 36th conference …, 0 | | |
