abylkairov-ys 1
1. Evaluating machine learning models for supernova gravitational wave signal classification
2. Partially constrained internal linear combination: A method for low-noise CMB foreground mitigation
3. A novel approach for calculating galaxy rotation curves using spaxel cross-correlation and iterative smoothing
4. Exploring supernova gravitational waves with machine learning
5. Probing nuclear physics with supernova gravitational waves and machine learning
6. Autoencoders for a manifold learning problem with a jacobian rank constraint
1