Center For Astrophysical Surveys 1

1. Evaluating machine learning models for supernova gravitational wave signal classification
2. Finding quadruply imaged quasars with machine learning-I. Methods
3. Exploring alternative cosmologies with the LSST: Simulated forecasts and current observational constraints
4. Dark energy reconstruction analysis with artificial neural networks: Application on simulated Supernova Ia data from Rubin Observatory
5. Probing nuclear physics with supernova gravitational waves and machine learning
6. Role of future SNIa data from Rubin LSST in reinvestigating cosmological models
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