Scope of the Workshop:
Machine Learning for the study of cosmic particles is a raising topic, which meanwhile has reached all detection techniques for all types of primary particles, be it a higher precision for the reconstruction of cosmic-ray air showers or neutrino induced particle showers, lowering the threshold or radio arrays, or improving the gamma-hadron separation. This workshop aims at bringing those together who actively work on machine learning in the context of high energy astroparticle physics.
On purpose, we plan for a small workshop which allows for longer talks, plenty of question time, and extended discussions over coffee and lunch break. All machine-learning methods are welcome, be it boosted decision trees, or any type of neural networks. We also invite contribution on failed approaches or work in progress, to learn from each other’s experience. In addition to contributed talks, we plan for invited highlight talks on recent successful applications in our field as well as machine-learning science and prevailing hardware and software techniques.
To attend the workshop, you need to register below for either remote or in-person participation. Additionally, you can submit an abstract for a talk here on this Indico website.
Abstract submission has been extended to November 30, 2024.
Registration (remote + in-person participants): separate website
Abstract submission (deadline 19 Nov 2024 30 Nov 2024): on this Indico website
Abstract submission requires an indico account. When you create a new indico account please add a comment that it is for this workshop. You need to do that well in advance. Do it already now if you plan to submit an abstract.
Program:
Monday (Jan 27):
Evening Reception
receeded by a mini workshop on Scientific Writing at 1pm (separate registration required; see PDF on JZ mini workshop at the bottom of the page)
Tuesday - Thurday (Jan 28-30):
Main workshop program
Friday (Jan 31):
Small breakout workshops on specific topics, such as IceCube
Talks:
We will have a number of invited and contributed talks. To allow for plenty of time for discussion, talks should be planned including 10 minutes of questions, so 35+10 or 20+10. Please include in your presentations not simply the results, but also explain how you have achieved them, where have been problems, and what open questions are. We also have a few flash talks for students of 10+5 min duration. As this is a hybrid workshop, we allow for virtual and on-site talks. Virtual talks need to be delivered live on Zoom with video on, as we plan to have a separate screen showing the speaker.
Proceedings:
We plan to make abstracts and materials (e.g., PDF of any slides shown) available via this indico during the conference and afterwards upload them on Zenodo free of charge to make them available open access and to provide a citable DOI. By submitting your abstract, you agree to the Zenodo terms. If you do not want to share all of the materials shown, just upload a reduced version of the PDF instead containing only the publishable material.
There will be no written proceedings in a classical sense.
Proceedings from a previous workshop with a narrower focus on cosmic-ray air showers can be found here on Zenodo.
Location:
University of Delaware, Newark, DE, USA
Regular session will take place at:
Clayton Hall Conference Center
100 David Hollowell Drive, Newark, DE 19716
Which is close to the conference hotel (see below for special rates).
UD Courtyard by Marriott Hotel
400 David Hollowell Drive, Newark, DE 19716
Travel:
Recommended airport is Philadelphia (PHL), but other airports are possible, in particular, if you rent a car to come to Newark DE (not Newark NJ).
From PHL you can take an airport shuttle, e.g., with Delaware Express Shuttle https://delexpress.com/reservations (or simply use Uber or Lyft).
Further travel information is available here: http://www.udel.edu/visitus/
Hotel:
You are responsible for your room reservation / cancellations.
A limited number of rooms have been reserved at the Courtyard Newark-University of Delaware for $144 USD per night (+ taxes). Rooms are available on a first come first serve basis; rate will expire Dec 20. Use the following link for your reservation :
Book your group rate for Machine Learning Workshop Room Block .
We are able to cover the hotel for a few speakers in justified cases. Please contact the local organizers.
Dining:
There are several options available at available downtown at Main Street, about a 15 minute walk from the hotel.
Conference Fee:
We plan to charge a small fee of 100 USD for participation on site and of 40 USD for remote participation to cover local and administrative cost. A link to the register through a separate website can be found above.
Cancellation Policy:
We do not provide refunds, and we are not responsible for any cancellation fee that may be charged by the hotel or my occur due to any of your travel arrangements.
Financial Support:
This workshop is kindly supported through NSF ESPCoR award #2336900. Thanks to this support, we can keep the workshop fee low, and we can cover the hotel for a number of participants. In a few justified cases, we may be able to provide some additional travel support (for national travel, only).
We are also thankful for support through the Bartol Research Institute.
If you need financial support to attend the meeting, please contact the organizers and provide a short explanation of your situation. Participants from EPSCoR juristdictions and from historically underrepresented groups in physics are particularly encouraged to register for this workshop.
Contact:
Feel free to reach out to the organisation committee if you have any questions.
