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June 2, 2021
See Seminars

Workshops and Conferences

SMS 2021 Summer School - Microlocal Analysis: Theory and Applications

CRM
May 3 - August 13, 2021
Organizers :
Suresh Eswarathasan (Dalhousie University)
Dmitry Jakobson (McGill University)
Katya Krupchyk (University of California)
Stéphane Nonnenmacher (Université Paris-Sud)

Web site : http://crm.umontreal.ca/sms2021/en/home/index_e.php

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CRM-PIMS Probability Summer School

CRM
May 24 - June 18, 2021
Organizers :
Louigi Addario-Berry (McGill University)
Omer Angel (University of British Columbia)
Mathav Murugan (University of British Columbia)
Edwin A. Perkins (University of British Columbia)

Web site : http://www.crm.umontreal.ca/2021/Probability21/index_e.php

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Summer school: Solving large systems efficiently in multiphysics numerical simulations

En ligne / Online
May 31 - June 10, 2021
Organizers :
Wing Hong Felix Kwok (Université Laval)
Jean Deteix (Université Laval)
Scott MacLachlan (Memorial University of Newfoundland)
Vivien Clauzon (Michelin)

Web site : http://www.crm.umontreal.ca/2021/EELaval21/index_e.php

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Summer School in Nonlinear Dynamics for the Life Sciences with Applications to Neuroscience and Psychology

En ligne / Online
May 31 - June 11, 2021
Organizers :
Anmar Khadra (McGill University)
Caroline Palmer (McGill University)

Web site : http://www.crm.umontreal.ca/2021/SSNonlinear21/index_e.php

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Connecting Women in Mathematics Across Canada

CRM
June 2-3, 2021
Organizers :
Matilde Lalín (Université de Montréal)
Lucy Campbell (Carleton University)
Ailana Fraser (University of British Columbia)
Karen Meagher (University of Regina)
Lucia Moura (University of Ottwa)

Web site : https://summer21.cms.math.ca/index.php/cwimac/

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Seminars

June 2, 2021 - 14:30:00

Seminar MTL Machine Learning and Optimization (MTL MLOpt) Machine Learning and Optimization (MTL MLOpt)
Veuillez vous inscrire à la liste d'envoi/Please subscribe to the mailing list: https://mtl-mlopt.github.io/

The use of cosine learning rate schedulers for deep learning. Why does it work so well?

Tong Zhang, Hong Kong University of Science and Technology

Web site : https://mtl-mlopt.github.io

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