Accuracy and Efficiency in Scientific Machine Learning

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IVADO and the Montreal Mathematical Research Center are pleased to welcome some thirty international experts in the field of physics-informed machine learning who will share their latest advances in the mathematical analysis of methods using Neural Networks. Despite ongoing efforts to integrate machine learning techniques into computer simulations, significant challenges remain in developing accurate and efficient SciML methodologies for routine use in science and engineering applications.

The workshop aims to address these challenges by creating novel mathematical theories for error estimation and control. These developments are intended to improve the accuracy and efficiency of Neural Network approximations for initial- and boundary-value problems and operator learning.

During the workshop, students, postdocs, and researchers will have multiple opportunities for discussions with scientific leaders on these issues. A poster session and an informal cocktail reception are also on the agenda.

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

Click HERE to register.

Comité Organisateur

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)

Confirmed Speakers

Ben Adcock (Simon Fraser University), Ziad Aldirany (MAG Energy Solutions), Prasanna Balaprakash (Oak Ridge National Laboratory), Alex Bihlo, (Memorial University of Newfoundland), 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)

Agenda

Wednesday, June 25th, 2025

9 – 9:30 a.m.: Registration and Welcome Address
9:30 – 10:30 a.m.: 1st Session
10:30 – 11 a.m.: Coffee Break
11 a.m. – 12:30 p.m.: 2nd Session
12:30 – 2 p.m.: Free Time – Lunch Break
2 – 3:30 p.m.: 3rd Session
3:30 – 4 p.m.: Coffee Break
4 – 5 p.m.: Poster Session and Cocktail

Thursday, June 26th, 2025

9 – 10:30  a.m.: 4th Session
10:30 – 11 a.m.: Coffee Break
11 a.m. – 12:30 p.m.: 5th Session
12:30 – 2 p.m.: Free Time – Lunch Break
2 – 3:30 p.m.: 6th Session
3:30 – 4 p.m.: Coffee Break
4 – 5 p.m.: 7th Session

Friday, June 27th, 2025

9 – 10:30 a.m.: 8th Session
10:30 – 11 a.m.: Coffee Break
11 a.m. – 12:30 p.m.: 9th Session
12:30 – 2 p.m.: Free Time – Lunch Break
2 – 3:30 p.m.: 10th Session
3:30 – 4 p.m.: Coffee Break
4 – 5 p.m.: 11th Session

Click HERE to register.