AI in Astronomy

POSTER P412: Binaural stellar spectra sonification based on variational autoencoders

POSTER P414: Quantum Convolutional Neural Networks for the detection of Gamma-Ray Bursts in the AGILE space mission data.

POSTER P405: Using a convolutional neural network with all sky infrared images to classify sky regions as clear or cloudy

POSTER P408: Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic Models

POSTER P415: ML and next steps in the DRAO data handling pipelines

POSTER P402: Revealing Predictive Maintenance Strategies from Comprehensive Data Analysis of ASTRI Horn Historical Data

POSTER P404: Using unsupervised learning for explorative discovery in astrophysical simulations

POSTER P418: Towards using GANs in astrophysical Monte-Carlo simulations

CANCELLED: POSTER P407: WALLABY: Source-finding at lower signal-to-noise using a machine learning framework

POSTER P416: A new Deep Learning Model for Gamma-ray bursts’ light curves simulation

POSTER P401: O-type Stars' Stellar Parameter Estimation with ANN

POSTER P406: Deep Learning and IACT: bridging the gap between Monte-Carlo simulations and LST-1 data using domain adaptation

POSTER P417: Fundamental parameter estimations of O-type stars binary systems using recurrent neural networks

POSTER P410: Preliminary results of a new Deep Learning model to predict from the orbital parameters the background count rates of the AGILE Anticoincidence System

POSTER P409: Radio celestial source fringe signals detection based on Transformer self-attention mechanism

POSTER P403: Automatic classification of evolved objects from the Gaia’s DR2 and DR3 databases using Deep Learning Tools

CANCELLED: POSTER P411: Application of a Simulation-Based Inference method to a galaxy cluster cosmology analysis

CANCELLED: POSTER P413: Anomaly Detection in ASKAP’s Monitoring Data through Collaborative Intelligence