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International Conference on Scientific Computing and Machine Learning 2026
University of Bath, UK, September 14 - 17, 2026.

Supported by UK/Japan Research Programmes: Maths4DL EPSRC Programme on the Mathematics of Deep Learning, JST CREST of Operator Learning Based on Geometric Classical Field Theory and Infinite Dimensional Data Science and JST ASPIRE of Deep scientific computing: integration of physical structure and deep learning through mathematical science.
International Conference on Scientific Computing and Machine Learning 2026
University of Bath, UK, September 14 - 17, 2026.

Supported by UK/Japan Research Programmes: Maths4DL EPSRC Programme on the Mathematics of Deep Learning, JST CREST of Operator Learning Based on Geometric Classical Field Theory and Infinite Dimensional Data Science and JST ASPIRE of Deep scientific computing: integration of physical structure and deep learning through mathematical science.
International Conference on Scientific Computing and Machine Learning 2026
University of Bath, UK, September 14 - 17, 2026.

Supported by UK/Japan Research Programmes: Maths4DL EPSRC Programme on the Mathematics of Deep Learning, JST CREST of Operator Learning Based on Geometric Classical Field Theory and Infinite Dimensional Data Science and JST ASPIRE of Deep scientific computing: integration of physical structure and deep learning through mathematical science.
International Conference on Scientific Computing and Machine Learning 2026
University of Bath, UK, September 14 - 17, 2026.

Supported by UK/Japan Research Programmes: Maths4DL EPSRC Programme on the Mathematics of Deep Learning, JST CREST of Operator Learning Based on Geometric Classical Field Theory and Infinite Dimensional Data Science and JST ASPIRE of Deep scientific computing: integration of physical structure and deep learning through mathematical science.

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 inverse problems
  • ML for differential equations
  • Operator learning
  • Neural ODEs and reconstruction of dynamics
  • Generative modelling
  • Geometric deep learning
  • Applications to:
    • Geo and environmental sciences (including weather and climate forecasting)
    • Medical imaging
    • Control theory
    • electromagnetics
    • drug discovery

Please contact the organizers at yaguchi (at) pearl.kobe-u.ac.jp or scml26-committee (at) geom.jp with any questions.

Conference venue

University of Bath

Claverton Down, Bath BA2 7AY, UK

Accommodation

TBA

Call for contributed talks

TBA

Important Dates

  • Contributed talks submissions due: TBA
  • Notification to authors: TBA

Tutorial/keynote/invited speakers

The current confirmed tutorial/keynote/invited speakers are

  • YH

    Yuka Hashimoto

    NTT

    Tutorial

  • Gabriele Steidl

    TU Berlin

    Keynote
  • EC

    Elena Celledoni

    NTNU

    Keynote
  • TP

    Thomas Pock

    TU Graz

    Keynote
  • TP

    Kirstine Dale

    Met Office

    Keynote
  • TP

    Hyung Ju Hwang

    Pohang University of Science and Technology

    Keynote
  • TP

    Olga Mula

    University of Vienna

    Keynote
  • TP

    Juan-Pablo Ortega

    Nanyang Technological University

    Keynote
  • TP

    Qianxiao Li

    National University of Singapore

    Keynote
  • TP

    Dimitris Giannakis

    Dartmouth College

    Keynote
  • CM

    Caroline Moosmuller

    University of North Carolina

    Invited
  • SM

    Sofya Maslovskaya

    Padeborn University

    Invited
  • KM

    Katarzyna Michalowska

    SINTEF

    Invited
  • LB

    Leon Bungert

    University of Würzburg

    Invited
  • YS

    Yeonjong Shin

    NC State University

    Invited
  • NI

    Noboru Isobe

    RIKEN

    Invited
  • NI

    Priscilla Canizares

    University of Cambridge

    Invited
  • NI

    Jeremias Sulam

    Johns Hopkins University

    Invited
  • NI

    Matt Colbrook

    University of Cambridge

    Invited
  • NI

    Domènec Ruiz-Balet

    U Barcelona

    Invited
  • NI

    Matt Thorpe

    University of Warwick

    Invited
  • NI

    Jemina Tabeart

    TU Eindhoven

    Invited

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.

A system for registration will be available soon.

Registration fee

TBA

Organizers

  • Christopher J. Budd OBE (University of Bath)
  • Matthias J. Ehrhardt (University of Bath)
  • Mizuka Komatsu (Kobe University)
  • Yury Korolev (University of Bath)
  • Amy Lunt (University of Bath)
  • Chaoyu Liu (University of Cambridge)
  • Davide Murari (University of Cambridge)
  • Baige Xu (Kobe University)
  • Takaharu Yaguchi (Kobe University)

This conference is supported by EPSRC Programme Grant Maths4DL on "the Mathematics of Deep Learning," JST CREST Prediction Mathematical Foundation "Operator Learning Based on Geometric Classical Field Theory and Infinite Dimensional Data Science," and by JST ASPIRE "Deep scientific computing: integration of physical structure and deep learning through mathematical science."

Notation based on the Specified Commercial Transaction Act