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 | 154 | 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 | 139 | 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 | 92 | 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 | 49 | 2023 |
Quark-mass dependence in decays M Dax, T Isken, B Kubis The European Physical Journal C 78 (10), 1-12, 2018 | 34* | 2018 |
Group equivariant neural posterior estimation M Dax, SR Green, J Gair, M Deistler, B Schölkopf, JH Macke ICLR 2022, 2022 | 22 | 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 | 15 | 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 |
Dispersive analysis of the Primakoff reaction M Dax, D Stamen, B Kubis The European Physical Journal C 81 (3), 1-18, 2021 | 11* | 2021 |
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 | 9 | 2020 |
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 | 7 | 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 | 6* | 2023 |
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 | 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 |
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, ... The Astrophysical Journal Letters 941 (2), 2022 | 1 | 2022 |
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 |
arXiv: Ultralight vector dark matter search using data from the KAGRA O3GK run AG Abac, ML Chiofalo, G Nieradka, R Pegna, C North, R Bhandare, ... | | 2024 |
Ultralight vector dark matter search using data from the KAGRA O3GK run AG Abac, R Abbott, H Abe, I Abouelfettouh, F Acernese, K Ackley, ... arXiv preprint arXiv:2403.03004, 2024 | | 2024 |
Dispersive analysis of the Primakoff reaction\gamma K-> K\pi D Stamen, M Dax, B Kubis The 10th International Workshop on Chiral Dynamics, 48, 2024 | | 2024 |
arXiv: Search for Eccentric Black Hole Coalescences during the Third Observing Run of LIGO and Virgo AG Abac, ML Chiofalo, G Nieradka, R Pegna, C North, R Bhandare, ... | | 2023 |