About the conference:
The 4th Neutrino Physics and Machine Learning (NPML 2025) will take place in Japan. The NPML conference series are dedicated to identifying new opportunities, developing and sharing firm knowledge base, and building the future visions for impactful Artificial Intelligence and Machine Learning (AI/ML) research for neutrino physics.
We look forward to your contributions to share the latest AI/ML research advancements at all levels of applications in neutrino physics, including experimental design optimization, detector operations and calibrations, physics simulations, data reconstruction, and physics inference.
We invite both individual speakers as well as representatives from a large collaboration in the neutrino community. Speakers from outside neutrino physics are also welcome to make contributions: your contributions will bring new insights and help us develop interdiciplinary research collaborations.
Key Information
- Location:
- Main conference: Koshiba Hall, University of Tokyo
- Satellite workshop: Seminar Room B, Kavli Institute of Physics and Mathematics for Universe (IPMU)
- Dates:
- Main conference: October 27th to 31st
- Satellite workshop: October 20th to 24th (tentative)
- Early registration (deadline June 30th 2025) :
- 30,000 JPY (regular registration)
- 20,000 JPY (student registration)
- Standard registration (deadline July 31st 2025)
- 40,000 JPY (regular registration)
- 30,000 JPY (student registration)
- Financial support (deadline June 30th 2025)
- Registration fee waivier
- Accommodations
- Transportation (domestic travel only)
Contributing Talks/Posters:
Please indicate your interest in the registration form. You do not need to submit a formal title nor abstract at the time of registration - this is to motivate early registration as soon as possible.
The submission deadline of a formal title and abstract is August 31st. When the official title and abstract are ready, please submit them from the Call for Abstracts page.
At NPML, we strongly encourage speakers of oral presentation to also consider a poster presentation which allows participants to interact more in depth with you and learn about your research.
Satellite workshop:
We will hold a satellite data workshop in the week of October 20th at Kavli IPMU in Kashiwa-city, Chiba (30-40 minutes by Tsukuba Exp. rail). The workshop will host multiple events including the first Data Olympic for Neutrino Physics and Machine Learning (DO-NPML) and related working sessions to develop critical dataset for advancing AI/ML research and catalyzing interdisciplinary collaboration.
The details of this year's DO-NPML are yet to be determined. Current possibilities include data reconstruction and detector calibration challenges using a large-scale simulated datasets for (Cylindrical/Spherical) Water Cherenkov detectors as well as Liquid Argon Time Projection Chambers. We will make the datasets available well ahead of the event.
The aim of DO-NPML is to enable collaborative development of common solutions and benchmarks. Please join, develop, and train your AI/ML model and share with the community!
All participants are welcome to join the satellite workshop. Please indicate your interest in the registration form. Further details about DO-NPML will be shared soon.
Local Organizational Committee
- Patrick de Perio (IPMU/U-Tokyo)
- Masashi Yokoyama (U-Tokyo)
- Yasuhiro Nakajima (U-Tokyo)
- Kimihiro Okumura (ICRR/U-Tokyo)
- Yoshitaka Itow (ICRR/U-Tokyo)
- Benjamin Quilain (IN2P3/U-Tokyo)
- Aya Ishihara (Chiba-U)
International Organizational Committee
- Patrick de Perio (IPMU/U-Tokyo)
- Saul Alonso Monsalve (ETH)
- Marta Babicz (U. Zurich)
- Jianming Bian (UC Irvine)
- Leigh Whitehead (Cambridge)
- Aobo Li (UCSD)
- Marco Del Tutto (Fermilab)
- Taritree Wongjirad (Tufts)
Updates:
- March 30th - the venue is decided.
- June 2nd - registration is open!
- June 23rd - LOC and IOC listed
