Accuracy and Efficiency in Scientific Machine Learning

Welcome to the “Accuracy and Efficiency in Scientific Machine Learning” Workshop

IVADO and the Montreal Mathematical Research Center (CRM) invite you to participate in our workshop titled: "Accuracy and Efficiency in Scientific Machine Learning". This exceptional event focuses on exploring and advancing the use of neural networks in scientific and engineering applications.

Despite the pervasive spread and effort to integrate machine learning techniques into computer simulations, there remain numerous challenges for developing accurate and efficient SciML methodologies for routine use in science and engineering applications. The workshop aims to address the challenges and needs to create novel mathematical theories for error estimation and control to improve the accuracy and efficiency of neural network approximations for initial- and boundary-value problems and operator learning.

The workshop will be held from June 25 to 27, 2025, on the campus of l’Université de Montréal and will bring together experts in the field of physics-informed machine learning to collaborate and share new advancements in the mathematical analysis of methods using neural networks.

This event will offer students, postdocs, and researchers multiple opportunities for discussions with scientific leaders on these issues. A poster session and an informal cocktail are also on the agenda.

We encourage you to present your work during the poster session and to take this opportunity to engage in discussions with our guests and gain new perspectives.

LIST OF CONFIRMED SPEAKERS:

• Ben Adcock, Simon Fraser University

• Ziad Aldirany, MAG Energy Solutions

• Prasanna Balaprakash, Oak Ridge National Laboratory

• Ramin Bostanabad, University of California, Irvine

• Tan Bui-Thanh, The University of Texas at Austin

• Zhiqiang Cai, Purdue University

• Roger Ghanem, University of Southern California

• Somdatta Goswami, Johns Hopkins University

• Anthony Gruber, Sandia National Laboratories

• Eldad Haber, University of British Columbia

• Amanda Howard, Pacific Northwest National Laboratory

• Anastasis Kratsios, McMaster University

• Ching-Yao Lai, Stanford University

• Romit Maulik, Pennsylvania State University

• Ignacio Muga, Pontificia Universidad Católica de Valparaíso

• Habib Najm, Sandia National Laboratories

• Adam Oberman, McGill University

• Azzeddine Soulaïmani, École de technologie supérieure ÉTS

• Panos Stinis, Pacific Northwest National Laboratory

• Nat Trask, University of Pennsylvania

• Kristoffer van der Zee, University of Nottingham

ORGANIZING COMMITTEE:

• Marta D’Elia (Stanford University and Atomic Machines)

• David Pardo (Basque Center for Applied Mathematics)

• Serge Prudhomme (IVADO/CRM/ Polytechnique Montréal)

• Foutse Khomh (IVADO/ Polytechnique Montréal)

REGISTRATION FEES:

Registration gives access to all presentation sessions, the poster session, the cocktail reception, and coffee breaks. Please note that lunches are not included.

• Student rate: CAN$ 100

• Post-Doc./ Early Career Researcher rate: CAN$ 125

• Researcher (Professor, Principal Investigator, etc.) rate: CAN$ 225

DEADLINES:

Deadline for submission of poster abstract (Registration is required prior to submission): April 30, 2025
Deadline for registration: June 1, 2025