Machine Learning related projects developed by the Cosmostatistics Initiative network.
- Project 11: Optimizing spectroscopic follow-up strategies for supernova photometric classification with active learning
- Project 8: On the realistic validation of photometric redshifts, or why Teddy will never be Happy
- Project 6: Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach
- Project 15: Photometry of high-redshift blended galaxies using deep learning
