ml.astro22: Workshop on Machine Learning for Astroparticle Physics and Astronomy, co-located with INFORMATIK 2022 Hamburg, Germany, September 26, 2022 |
Conference website | https://sfb876.tu-dortmund.de/ml.astro |
Submission link | https://easychair.org/conferences/?conf=mlastro22 |
Submission deadline | May 21, 2022 |
The future of this development can be expected to hold nothing less than groundbreaking scientific discoveries. The involved data analysis tasks, e.g. particle property reconstruction, particle classification and ML-based deconvolution, require a diverse set of algorithms, such as ensemble methods, regression, unsupervised learning, imbalanced learning and various types of neural networks. The efficient generation of large amounts of annotated examples in Monte Carlo simulations is a key characteristic of the field, as well as one of its largest challenges.
This interdisciplinary workshop will bring together leading experts from Computer Science, astroparticle physics and astronomy, to present and discuss recent developments at the intersection of these fast evolving fields. The ultimate goal of this workshop is to foster collaborations that span multiple disciplines to further advance all fields involved. We invite all submissions that are in line with this goal, including methodological, theoretical and practical works, as well as proofs of concepts. Submissions can address, without being limited to, the following topics:
- 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
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The papers should have a length of six to ten pages, including references and figures.
Committees
Program Committee
- Tim Ruhe
- Dominik Elsässer
- Kai Polsterer
- Thomas Liebig
- Christian Bockermann
- Nico Piatkowski
- Matthias Fey
- Jakob Knollmüller
- Basem Khanji
- Hans Dembinski
Organizing committee
- Tim Ruhe
- Jens Buss
- Mirko Bunse
- Dominik Elsässer
Contact
All questions about submissions should be emailed to tim.ruhe@tu-dortmund.de or jens.buss@tu-dortmund.de