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International Conference on Scientific Computing and Machine Learning 2025
Kyoto & Online, Japan, March 3 - 7, 2025.
International Conference on Scientific Computing and Machine Learning 2025
Kyoto & Online, Japan, March 3 - 7, 2025.
International Conference on Scientific Computing and Machine Learning 2025
Kyoto & Online, Japan, March 3 - 7, 2025.

Welcome

In recent years, machine learning methods for scientific computing have attracted much attention. Many methods are a combination of machine learning and/or theories of physics and/or computational mathematics.

This conference aims to showcase the latest research in these areas, which have been fragmented while pursuing research in the same direction, to bridge the gap between them, and to promote collaboration.

Topics will include, but not limited to

  • ML for scientific computing
  • ML for model discovery
  • Physics-informed neural networks
  • Operator learning
  • Geometric deep learning
  • Numerical method for scientific computing
  • Discrete mechanics
  • Mathematics for ML for science
  • Computational algebra for modeling and simulation

This year, this conference will be held in a hybrid format and online participation is possible. All oral talks will be recoreded and made available to participants.

Please contact the organizers at yaguchi (at) pearl.kobe-u.ac.jp or scml25-committee (at) geom.jp with any questions.

Conference venue

Kyoto Tower Hotel

721-1 Higashishiokoji-cho, Karasuma-dori Shichijo-sagaru, Shimogyo-ku, Kyoto, 600-8216, Japan

Accommodation

There are many hotels around Kyoto Station, and we are pleased to offer two hotel options for participants attending SCML 2025. Please review the details below to select the plan that best suits your needs.

Common Details for Both Options:

  • Check-in: 2nd March 2025 / Check-out: 8th March 8 2025 (6 nights). Participants may request minor adjustments to the check-in or check-out dates, though rates may vary accordingly.
  • Meals: No meals included
To request a reservation, please complete the corresponding form based on your chosen accommodation. Please note that submitting the form serves as a reservation request and not a confirmation. Your booking will be confirmed once you receive a confirmation email from SCML organizing committee. The number of rooms available for reservation is limited, and bookings will be made on a first-come, first-served basis.

Option 1: Kyoto Tower Hotel (Conference venue)

Option 2: Hotel Hokke Club Kyoto

If you experience any difficulty completing the form, please email the following information to m-komatsu at kobe-u.ac.jp.
  • Full Name (as on Passport)
  • Email Address
  • Phone Number
  • If applicable, any requested changes to the check-in or check-out dates.

Call for papers and submission guidelines

We welcome paper submissions from all related areas with the above topics.

  • Submitted papers will be reviewed by the Program Committee. All accepted papers will be made available to conference participants. However, authors of accepted papers can choose whether to include their paper in the conference proceedings and make it public, or keep it non-public (and hence non-archival). If they choose to keep it non-public (and non-archival), the authors retain the right to publish the paper elsewhere.
  • Submission of papers that are under review or have been recently published in a conference or a journal is allowed; but, in that case, these papers cannot be included in the conference proceedings.
  • Each accepted presentation will be assigned to either an oral presentation or a poster presentation, according to the review reports.
  • Submissions should not exceed four pages, excluding references and supplementary materials.
  • All submissions must be in the pdf format based on the SCML style file. Please see template.pdf in the SCML style file for other details.

How to submit a paper

Please submit your paper via Microsoft CMT: https://cmt3.research.microsoft.com/SCML2025

Important Dates

  • Paper submissions due: January 5, 2025 (AoE)
  • Notification to authors: January 12, 2025 (AoE)

Tutorial/keynote/invited speakers

Several keynote/invited/tutorial talks will be scheduled. In particular, we are planning invited talks by early and mid-career researchers, as this research field is still at the beginning stage and promoting young researchers is very important.

This year, we will invite as invited speakers a few students or young researchers (who have obtained a PhD degree within the five years, i.e., on January 1st, 2020 or later) who have published at least one paper related to SciML in famous conferences such as NeurIPS, ICML, ICLR. Travel and accommodation expenses for those selected as invited speakers will be covered by the conference organizing committee. Those who wish to apply for this opportunity should send the paper accepted for the above conference to scml25-committee (at) geom.jp by December 13, 2024 (AOE). Please understand that we have a limited budget and that we need to review applications.

The current confirmed tutorial/keynote/invited speakers are

Registration

Registration is required for you to participate in the conference. In particular, to present your work, at least one of the authors should make a registration.

The system for registration will be available soon.

Registration fee

  • Early registration (until February 3, 2025)
    • Regular participant: 50000JPY
    • Regular participant (online participation only): 40000JPY
    • Student participant: 30000JPY
    • Student participant (online participation only): 20000JPY
  • Regular registration
    • Regular participant: 60000JPY
    • Regular participant (online participation only): 40000JPY
    • Student participant: 40000JPY
    • Student participant (online participation only): 20000JPY

Organizers

  • Takaharu Yaguchi (Kobe University)
  • Hiroaki Yoshimura (Waseda University)
  • Nobuki Takayama (Kobe University)
  • Toshiaki Omori (Kobe University)
  • Takashi Matsubara (Osaka University)
  • Kumiko Hori (National Institute for Fusion Science)
  • Mizuka Komatsu (Kobe University)
  • Baige Xu (Kobe University)

Notation based on the Specified Commercial Transaction Act (特定商取引法に基づく表記)


SCML2025. This conference is supported by JST CREST Prediction Mathematical Foundation "Operator Learning Based on Geometric Classical Field Theory and Infinite Dimensional Data Science," JST CREST Mathematical Information Platform "Structure Preserving System Modeling and Simulation Basis Based on Geometric Discrete Mechanics" and by JST ASPIRE "Deep scientific computing: integration of physical structure and deep learning through mathematical science."