Follow
Maximilian Dax
Maximilian Dax
PhD Student at the Max Planck Institute for Intelligent Systems
Verified email at tue.mpg.de - Homepage
Title
Cited by
Cited by
Year
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
1672021
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
1452019
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
1192023
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
572023
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
242022
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
192023
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
12*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
122023
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
112023
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
102020
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
62022
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
22023
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
12023
Observation of Gravitational Waves from the Coalescence of a Compact Object and a Neutron Star
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
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
The system can't perform the operation now. Try again later.
Articles 1–20