2024 Workshop
AstroAI Workshop 2024
Community research archive
Ideas shared by the workshop community
Browse the 2024 community contributions, from stellar and galactic astronomy to cosmology, time-domain research, and machine-learning methods.
- 18
- Talks
- 15
- Posters
On the stage
Contributed talks
Contributed talk Improving Stellar Age Estimations with Normalizing Flows Read abstract Contributed talk A Machine Learning Upgrade to GPR for EoR 21-cm signal extraction from LOFAR data Read abstract Contributed talk Deep Learning Photo-z's in Preparation for Roman Read abstract Contributed talk Probabilistic Reconstruction of the Local Dark Matter with 3D Diffusion Models Read abstract Contributed talk Modeling Image Systematics Using Conditional Diffusion Models Read abstract Contributed talk Improving Fast Radio Burst Localizations Using Simulation-Based Inference Read abstract Contributed talk Probing Self-Interacting Dark Matter with Interpretable Neural Networks Read abstract Contributed talk Interpolation of Sagittarius A* multiwavelength data using a transformer based machine learning model Read abstract Contributed talk Inferring Star formation histories with neural density estimation and cosmological simulations Read abstract Contributed talk Latent Stochastic Differential Equations for Modeling Quasar Variability Read abstract Contributed talk COSMIC: Characterization of Star clusters using Machine-learning Inference and Clustering Read abstract Contributed talk SpectraFM: Tuning into Stellar Foundation Models Read abstract Contributed talk Applying Machine Learning to Determine Galaxy Membership in Galaxy Clusters Read abstract Contributed talk Accelerating neutron star light curve simulation and parameter inference through neural networks Read abstract Contributed talk How DREAMS are made: Emulating subhalo populations under alternative dark matter scenarios with Variational Diffusion Models Read abstract Contributed talk Segmentation of Current Sheets in Magnetized Plasma Turbulence with Computer Vision Read abstract Contributed talk PulsarNet - Accelerating the Discovery of Binary Pulsars through Attention-Based Neural Networks Read abstract Contributed talk Using neural networks to model Main Belt Asteroid albedos as a function of their proper orbital elements Read abstract
Around the room
Poster presentations
Poster Revealing the mystery of the M87 jets Read abstract Poster Uncovering the Molecular Recipe for Protoplanetary Disk Masses Read abstract Poster A Machine Learning Approach to Morphological Distinction of Repeating vs Non-Repeating Fast Radio Bursts. Read abstract Poster An Artificial Neural Network for on-board event pre-processing of Gamma-Ray Burst Observations Read abstract Poster Obtaining Magnetic Fields in Molecular Clouds using Denoising Diffusion Probabilistic Models Read abstract Poster Estimating Galaxy Cluster Mass Accretion Rates from Observations using Machine Learning Read abstract Poster Katachi (形): Decoding the Imprints of Past Star Formation on Present-Day Morphology in Galaxies with Interpretable CNNs Read abstract Poster Theia 456: Tidally Shredding an Open Cluster Read abstract Poster Detection of possible depletion duration of boundary layer structure in a Z source GX 349+2. Read abstract Poster Neural scaling laws and astronomy Read abstract Poster Multimessenger search pipeline with gravitational wave, electromagnetic wave or neutrinos Read abstract Poster Characterizing X-GAP galaxy groups dynamical state and substructures with machine learning implementations Read abstract Poster Exploring the Mass-Metallicity Relation in Open Clusters inside the Milky Way Read abstract Poster Using Neural Networks to detect Dark Star Candidates in the Early Universe Read abstract Poster Identification of Protohalos with Deep Learning Read abstract