Michal Bejger

Orcid: 0000-0002-4991-8213

According to our database1, Michal Bejger authored at least 8 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
APRIL: auxiliary physically-redundant information in loss - a physics-informed framework for parameter estimation with a gravitational-wave case study.
Mach. Learn. Sci. Technol., 2026

2025
Explainable autoencoder for neutron star dense matter parameter estimation.
Mach. Learn. Sci. Technol., 2025

2023
Denoising gravitational-wave signals from binary black holes with a dilated convolutional autoencoder.
Mach. Learn. Sci. Technol., September, 2023

2021
Anomaly detection in gravitational waves data using convolutional autoencoders.
Mach. Learn. Sci. Technol., 2021

Enhancing gravitational-wave science with machine learning.
Mach. Learn. Sci. Technol., 2021

The effect of floating-point precision on narrow-band all-sky continuous gravitational-wave search algorithm.
Astron. Comput., 2021

2020
Convolutional neural network classifier for the output of the time-domain $\mathcal{F}$-statistic all-sky search for continuous gravitational waves.
Mach. Learn. Sci. Technol., 2020

2015
Architecture, implementation and parallelization of the software to search for periodic gravitational wave signals.
Comput. Phys. Commun., 2015


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