gravitational_waves_meet_machine_learning
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Gravitational waves meet machine learning
| 9:30 - 9:35 | Round table introductions | |
| 9:35 - 11:00 | Overview of topics | |
| 9:35 - 10:00: Research in the Empirical Inference division of MPI IS (Schölkopf, Macke) | slides | |
| 10:00 - 10:15: NR calibration of analytical waveforms (Buonanno) | slides | |
| 10:15 - 10:30: Accelerating waveform model evaluation (Pürrer) | https://astro-cosmo-rel-wiki.aei.mpg.de/?ns=%3A&image=%3Apürrer_-_accelerating_waveform_model_evaluation_-_ml_meeting_july_2020.pdf&do=media | |
| 10:30 - 10:45: Gravitational wave parameter inference (Green) | slides | |
| 10:45 - 11:00: Handling model uncertainties (Gair) | slides | |
| 11:00 - 12:20 | Discussion of possible collaborative projects | |
| 12:20 - 12:30 | Summary and plans for future interactions | |
gravitational_waves_meet_machine_learning.1595262650.txt.gz · Last modified: 2020/07/20 16:30 by Michael Puerrer