AI in Astronomy

POSTER P412: Binaural stellar spectra sonification based on variational autoencoders

Adrian Garcia Riber, Polytechnic University of Madrid

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

Alessandro Rizzo, University of Bologna

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

Brock Taylor, Columbia University

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

Dustin Lagoy, Dominion Radio Astronomy Observatory

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

Federico Incardona, INAF

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

Kai Polsterer

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

Karel Adamek, University of Oxford

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

Li Wang, CSIRO

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

Luca Castaldini, INAF/OAS Bologna • Riccardo Falco, INAF

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

Luis J. Corral

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

Michaël Dell'aiera, CNRS-LAPP • Thomas Vuillaume, CNRS

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

Miguel Flores, University of Guadalajara

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

Nicolò Parmiggiani, INAF

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

Ruiqing Yan

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

Silvana G. Navarro Jiménez, University of Guadalajara

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

Yuanyuan Zhang, NOIRLab

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

Zhuowei Wang, CSIRO