Real-time gravitational wave science with neural posterior estimation M Dax, SR Green, J Gair, JH Macke, A Buonanno, B Schölkopf
Physical review letters 127 (24), 241103, 2021
170 2021 Deepusps: Deep robust unsupervised saliency prediction with self-supervision DT Nguyen*, M Dax*, CK Mummadi, TPN Ngo, THP Nguyen, Z Lou, ...
Advances in Neural Information Processing Systems (NeurIPS) 2019, 2019
148 2019 Open data from the third observing run of LIGO, Virgo, KAGRA and GEO R Abbott, H Abe, F Acernese, K Ackley, S Adhicary, N Adhikari, ...
arXiv preprint arXiv:2302.03676, 2023
128 2023 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
60 2023 Quark-mass dependence in M Dax, T Isken, B Kubis
The European Physical Journal C 78 (10), 1-12, 2018
36 * 2018 Group equivariant neural posterior estimation M Dax, SR Green, J Gair, M Deistler, B Schölkopf, JH Macke
ICLR 2022, 2022
24 2022 Model-based cross-correlation search for gravitational waves from the low-mass X-ray binary Scorpius X-1 in LIGO O3 data R Abbott, H Abe, F Acernese, K Ackley, S Adhicary, N Adhikari, ...
arXiv preprint arXiv:2209.02863, 2022
23 2022 Search for subsolar-mass black hole binaries in the second part of Advanced LIGO’s and Advanced Virgo’s third observing run LVK Collaboration
Monthly Notices of the Royal Astronomical Society 524 (4), 5984-5992, 2023
22 2023 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
13 * 2023 Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network R Abbott, H Abe, F Acernese, K Ackley, S Adhicary, N Adhikari, ...
arXiv preprint arXiv:2304.08393, 2023
13 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
13 2023 Explicitly Modeled Attention Maps for Image Classification A Tan, DT Nguyen, M Dax, M Niessner, T Brox
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 2020
12 2020 Dispersive analysis of the Primakoff reaction M Dax, D Stamen, B Kubis
The European Physical Journal C 81 (3), 1-18, 2021
11 * 2021 Search for eccentric black hole coalescences during the third observing run of LIGO and virgo AG Abac, R Abbott, H Abe, F Acernese, K Ackley, C Adamcewicz, ...
arXiv preprint arXiv:2308.03822, 2023
5 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
2 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
1 2024 Swift-BAT GUANO follow-up of gravitational-wave triggers in the third LIGO-Virgo-KAGRA observing run G Raman, S Ronchini, J Delaunay, A Tohuvavohu, JA Kennea, ...
arXiv preprint arXiv:2407.12867, 2024
2024 Real-time gravitational-wave inference for binary neutron stars using machine learning M Dax, SR Green, J Gair, N Gupte, M Pürrer, V Raymond, J Wildberger, ...
arXiv preprint arXiv:2407.09602, 2024
2024 Observation of Gravitational Waves from the Coalescence of a AG Abac, R Abbott, I Abouelfettouh, F Acernese, K Ackley, S Adhicary, ...
2024 Analyzing Exoplanet Spectra with Flow Matching Posterior Estimation and Neural Importance Sampling T Gebhard, J Wildberger, M Dax, D Angerhausen, B Schölkopf, SP Quanz
2024 Astrobiology Science Conference, 2024
2024 
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
