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 Goals: 
 
-- [ ] Reproduce the results of a machine learning paper to find gravitational wave events (e.g. https://arxiv.org/abs/1909.13442 Gravitational wave signal recognition of O1 data by deep learning, He Want et al.)
+- [ ] Reproduce the results of a machine learning paper to find gravitational wave events, e.g. 
+    - https://arxiv.org/abs/1909.13442 Gravitational wave signal recognition of O1 data by deep learning, He Want et al.
+    - https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.120.141103 Matching Matched Filtering with Deep Networks for Gravitational-Wave Astronomy
+    - https://arxiv.org/abs/1909.06296 Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
 - [ ] compute the p value/ false alarm rate for machine learning algorithm 
 - [ ] extend the above paper to O2/O3a
 
+References:
+
+ - A survey for literature: https://iphysresearch.github.io/Survey4GWML/