Coming soon!
Links
Projects
- GLM I: Binomial Regression
- GLM II: Gamma Regression
- GLM III: Negative Binomial Regression
- Approximate Bayesian Computation (CosmoABC)
- Analysis of Multi-dimensional Astronomical DAta sets (AMADA)
- Dimensionality Reduction And Clustering for Unsupervised Learning in Astronomy (DRACULA)
- Hierarchical Bayesian Models
- Representativeness in Machine Learning applications for photometric redshifts
- Gaussian Mixture Models
- Integrated Nested Laplace Approximation (INLA)
- Active Learning for Supernova Photometric Classification
- Incompleteness of nearby cluster population
- Hurdle and Generalized Additive Models
- Dark energy equation of state imprint on supernova data
- Photometry of high-redshift blended galaxies using deep learning
- Ridges in the Dark Energy Survey
- Periodic Astrometric Signal Recovery through Convolutional Autoencoders
- Active Learning with RESSPECT
- SPICY: The Spitzer/IRAC Candidate YSO Catalog
- Dawn of Stars
- A high pitch angle structure in the Sagittarius Arm
- Spectroscopic Confirmation of a population of Isolated, Intermediate-Mass YSOs
- A graph-based spectral classification of SN-II
- Are classification metrics good proxies for SN Ia cosmological constraining power?
- ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients