Skip to main content
The University of Arizona Wordmark Line Logo White
ADASS 2023 | Home

ADASS 2023    IVOA

ADASS 2023

home home

Main navigation

  • Home
  • Logistics
  • Schedule
  • Agenda
  • Themes
  • Sponsors
  • Participants
  • Dining
  • Hotels
  • Things to do
  • Survey
  1. Home
  2. Event Categories
  3. AI In Astronomy

AI in Astronomy

C401: "You might also like these images": unsupervised affine-transformation-independent representation learning for the ALMA Science Archive
11 – 11:15 a.m., Nov. 7, 2023 Felix Stoehr
C402: Detection and classification of radio sources with deep learning
11:15 – 11:30 a.m., Nov. 7, 2023 Simone Riggi, INAF-Osservatorio Astrofisico Catania
C403: Deep learning in automatic detection of radio 21 cm neutral hydrogen absorption
11:30 – 11:45 a.m., Nov. 7, 2023 Xiu Liu, CSIRO
C404: A new architecture of Convolutional Neural Networks for astronomical data
11:45 a.m. – 11 a.m., Nov. 7, 2023 Faezeh Bidjarchian
C405: Developing an efficient large-scale machine learning pipeline to classify the millions of NASA TESS light curves in search for variable stars
1:30 – 1:45 p.m., Nov. 7, 2023 Jeroen Audenaert, MIT Kavli Institute for Astrophysics and Space Research
C406: Learning from the Machines
1:45 – 2 p.m., Nov. 7, 2023 Nima Sedaghat, University of Washington
INVITED I401: AI in Astronomy
2 – 2:30 p.m., Nov. 7, 2023 Maggie Lieu
C407: Experimenting with Large Language Models and vector embeddings in NASA SciX
2:30 – 2:45 p.m., Nov. 7, 2023 Sergi Blanco-Cuaresma, NASA ADS
POSTER P401: O-type Stars' Stellar Parameter Estimation with ANN
11:01 p.m., Nov. 7, 2023 Luis J. Corral
POSTER P402: Revealing Predictive Maintenance Strategies from Comprehensive Data Analysis of ASTRI Horn Historical Data
11:02 p.m., Nov. 7, 2023 Federico Incardona, INAF
POSTER P403: Automatic classification of evolved objects from the Gaia’s DR2 and DR3 databases using Deep Learning Tools
11:03 p.m., Nov. 7, 2023 Silvana G. Navarro Jiménez, University of Guadalajara
POSTER P404: Using unsupervised learning for explorative discovery in astrophysical simulations
11:04 p.m., Nov. 7, 2023 Kai Polsterer
POSTER P405: Using a convolutional neural network with all sky infrared images to classify sky regions as clear or cloudy
11:05 p.m., Nov. 7, 2023 Brock Taylor, Columbia University
POSTER P406: Deep Learning and IACT: bridging the gap between Monte-Carlo simulations and LST-1 data using domain adaptation
11:06 p.m., Nov. 7, 2023 Michaël Dell'aiera, CNRS-LAPP • Thomas Vuillaume, CNRS
POSTER P408: Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic Models
11:08 p.m., Nov. 7, 2023 Duo Xu
POSTER P409: Radio celestial source fringe signals detection based on Transformer self-attention mechanism
11:09 p.m., Nov. 7, 2023 Ruiqing Yan
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
11:10 p.m., Nov. 7, 2023 Nicolò Parmiggiani, INAF
POSTER P412: Binaural stellar spectra sonification based on variational autoencoders
11:12 p.m., Nov. 7, 2023 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.
11:14 p.m., Nov. 7, 2023 Alessandro Rizzo, University of Bologna
POSTER P415: ML and next steps in the DRAO data handling pipelines
11:15 p.m., Nov. 7, 2023 Dustin Lagoy, Dominion Radio Astronomy Observatory
POSTER P416: A new Deep Learning Model for Gamma-ray bursts’ light curves simulation
11:16 p.m., Nov. 7, 2023 Luca Castaldini, INAF/OAS Bologna • Riccardo Falco, INAF
POSTER P417: Fundamental parameter estimations of O-type stars binary systems using recurrent neural networks
11:17 p.m., Nov. 7, 2023 Miguel Flores, University of Guadalajara
POSTER P418: Towards using GANs in astrophysical Monte-Carlo simulations
11:18 p.m., Nov. 7, 2023 Karel Adamek, University of Oxford
FOCUS DEMO F401: Building a production ML pipeline for gravitational wave detection
10:15 – 10:45 a.m., Nov. 8, 2023 Alec Gunny
CANCELLED: POSTER P407: WALLABY: Source-finding at lower signal-to-noise using a machine learning framework
11:07 p.m., Dec. 7, 2023 Li Wang, CSIRO
CANCELLED: POSTER P411: Application of a Simulation-Based Inference method to a galaxy cluster cosmology analysis
11:11 p.m., Dec. 7, 2023 Yuanyuan Zhang, NOIRLab
CANCELLED: POSTER P413: Anomaly Detection in ASKAP’s Monitoring Data through Collaborative Intelligence
11:13 p.m., Dec. 7, 2023 Zhuowei Wang, CSIRO
ADASS 2023 | Home

Footer - Main

  • Emergency Information
  • Nondiscrimination
  • Campus Safety
  • Information Security & Privacy
  • Copyright
  • Campus Accessibility
  • Diversity
Lunar and Planetary Laboratory

We respectfully acknowledge the University of Arizona is on the land and territories of Indigenous peoples. Today, Arizona is home to 22 federally recognized tribes, with Tucson being home to the O’odham and the Yaqui. The University strives to build sustainable relationships with sovereign Native Nations and Indigenous communities through education offerings, partnerships, and community service.


University Information Security and Privacy

© 2025 The Arizona Board of Regents on behalf of The University of Arizona.