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ml.astro 2022 : Workshop on Machine Learning for Astroparticle Physics and Astronomy | |||||||||||||||
| Link: https://sfb876.tu-dortmund.de/ml.astro | |||||||||||||||
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Call For Papers | |||||||||||||||
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We invite you to the "Workshop on Machine Learning for Astroparticle Physics and Astronomy" (ml.astro), co-located with INFORMATIK 2022.
The workshop will be held on September 26th 2022 in Hamburg, Germany and include invited as well as contributed talks. Contributions should be submitted as full papers of 6 to 10 pages until April 30th 2022 and may include, without being limited to, the following topics: * Machine learning applications in astroparticle physics and astronomy * Unfolding / deconvolution / quantification * Neural networks and graph neural networks (GNNs) * Generative adversarial networks (GANs) * Ensemble Methods * Unsupervised learning * Unsupervised domain adaptation * Active class selection * Imbalanced learning * Learning with domain knowledge * Particle reconstruction, tracking, and classification * Monte Carlo simulations Further information on the timeline and the submission of contributions is provided via the workshop website: https://sfb876.tu-dortmund.de/ml.astro/ Tim Ruhe (on behalf of the Organizing Committee) |
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