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Maximilian Dax
Maximilian Dax
PhD Student at the Max Planck Institute for Intelligent Systems
Bestätigte E-Mail-Adresse bei tue.mpg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1512021
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
1382019
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
902023
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
482023
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
212022
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
142023
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
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
92020
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
72023
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
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
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
12022
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
Applications of Deep Learning to physics workflows
M Agarwal, J Alameda, J Audenaert, W Benoit, D Beveridge, ...
arXiv preprint arXiv:2306.08106, 2023
2023
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