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) |
Summary |
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ml.astro 2022 : Workshop on Machine Learning for Astroparticle Physics and Astronomy will take place in Hamburg. It’s a 1 day event starting on Sep 16, 2022 (Friday) and will be winded up on Sep 16, 2022 (Friday). ml.astro 2022 falls under the following areas: MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, ASTROPARTICLE PHYSICS, ASTRONOMY, etc. Submissions for this Workshop can be made by Apr 30, 2022. Authors can expect the result of submission by Jun 17, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 8, 2022 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the ml.astro 2022
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Credits and Sources |
| [1] ml.astro 2022 : Workshop on Machine Learning for Astroparticle Physics and Astronomy |
