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• Astro Data Science Discussion Group

Talks given by

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Talks organised by

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• Detecting Localised Density Anomalies in Multivariate Data
• AION-1: An Omnimodal Foundation Model for Astronomical Sciences
• Hierarchical Bayesian inference: constraining population distribution of dark matter halo shapes via stellar streams
• A Conceptual Introduction to Deep Learning
• Measuring the Milky Way's Mass with Gaia
• Cosmology as an Optimisation Problem
• Real-time ML-powered transient discovery with GOTO and Kilonova Seekers
• Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting
• From Squiggles to Signals: Learning Useful Representations for Discovery in Time-Domain Astronomy
• Imaging and Design with Differentiable Physics Models
• Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra
• Approximate the Simulator, Not the Inference: Using Converging Hamiltonian Monte Carlo for Flexible SBI in Astronomy
• Data validation through anomaly detection for Gaia DR4
• Type Ia Supernovae standardisation with the ZTF SN Ia DR2 sample
• Scaling laws for large time-series models: More data, more parameters
• Hybrid Summary Statistics: Telling Neural Networks where to look
• From TDEs and GRBs to supernovae - Redback: A Bayesian inference software package for electromagnetic transients
• The future of astronomy in the era of AI and big data
• An Overview of Probabilistic Latent Variable Models
• Application of normalising flows to hierarchical Bayesian inference
• Introduction to Transformers and N-grams