Welcome to the seminar webpage of the CRM Applied Mathematics Laboratory. Seminars take place on Monday at 4pm ET either in hybrid or online format. Hybrid seminars are held at McGill's Burnside Hall (room 1104) and streamed online via Zoom. Online seminars take place on Zoom only. Please contact using the email address at the bottom of the page to subscribe to our mailing list and to receive Zoom links.

Organizing committee:
Jason Bramburger (Concordia)
Simone Brugiapaglia (Concordia)
Matthieu Cadiot (McGill)
Tim Hoheisel (McGill)



CRM Applied Mathematics Seminars, Winter 2024

Time and Date Speaker Title and Abstract Location and Host
4 pm
Jan. 22 2024
Nghia T. A. Tran
(Oakland University)
Well-posedness and Stability of Nuclear Norm Minimization Problems Hybrid
T. Hoheisel
4 pm
Feb. 5 2024
Antonio Silveti-Falls
(Universite Paris-Saclay)
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems Hybrid
T. Hoheisel
4 pm
Feb. 12 2024
Claire Guerrier
(Universite Cote d'Azur)
Numerical resolution of the Poisson-Nernst Planck system of equations using the Discrete Duality Finite Volume method: is neuronal plasticity occurring at the scale of the dendritic arbor? Hybrid
J. Bramburger
4 pm
Mar. 4 2024
Reading Week ~ ~
4 pm
Mar. 11 2024
Anastasis Kratsios
(McMaster University)
An Approximation Theory for Metric Space-Valued Functions With A View Towards Deep Learning Hybrid
S. Brugiapaglia
4 pm
Mar. 18 2024
Pierre-Thomas Brun
(Princeton University)
Building with fluids: a lazy approach to fabrication Hybrid
B. Yousefzadeh
4 pm
Mar. 25 2024
Ebrahim Sarabi
(University of Miami)
Twice Epi-Differentiability: Theory and Applications Hybrid
T. Hoheisel
4 pm
Apr. 15 2024
Maria Ntekoume
(Concordia)
Symplectic non-squeezing for the KdV and fifth-order KdV equations Hybrid
J. Bramburger
4 pm
Apr. 22 2024
Shaun Lui
(University of Manitoba)
TBA Hybrid
S. Brugiapaglia



CRM Applied Mathematics Seminars, Fall 2023

Time and Date Speaker Title and Abstract Location and Host
4pm
Sept. 11 2023
Tiffany Vlaar
(McGill)
Constrained and Multirate Training of Neural Networks Hybrid
S. Brugiapaglia
4pm
Sept. 18 2023
Mehdi Dagdoug
(McGill)
Statistical inference in surveys with random forest imputed estimators Hybrid
T. Hoheisel
4pm
Sept. 25 2023
Elizabeth Collins-Woodfin
(McGill)
High dimensional limit of streaming SGD for generalized linear models Hybrid
J. Bramburger
4pm
Oct. 2 2023
Murat A. Erdogdu
(University of Toronto)
Feature Learning in Two-layer Neural Networks: The Effect of Data Covariances Hybrid
A. Oberman
4pm
Oct. 9 2023
Thanksgiving ~ ~
4pm
Oct. 16 2023
Yves D'Angelo
(Universite Cote d'Azur)
Combustion Modeling : a Class of Evolution Equations for Propagating Flames Dynamics Hybrid
J. Bramburger
4pm
Oct. 23 2023
Xin Yang Lu
(LakeHead University)
Geometry of minima in tri-block copolymer models Hybrid
R. Choksi
4pm
Oct. 30 2023
Stephane Jaffard
(Universite Paris Est Creteil)
Stephane Jaffard Aisenstadt Chair Lecture Series CRM (UdeM, Pavillon Andre-Aisenstadt)
4pm
Nov. 6 2023
Giovanni Migliorati
(Sorbonne Universite)
Stable high-order cubature formulae for integration in arbitrary dimension Hybrid
S. Brugiapaglia
4pm
Nov. 13 2023
James V. Burke
(University of Washington)
Feature Selection for Linear Fixed Effects Models Hybrid
T. Hoheisel
4pm
Nov. 20 2023
Per Sebastian Skardal
(Trinity College)
Identifying and suppressing unknown disturbances to dynamical systems using machine learning Hybrid
J. Bramburger
4pm
Nov. 27 2023
Martina Neumann
(University of Vienna)
Transferability of Graph Neural Networks using Graphon and Sampling Theories Hybrid
J. Bramburger
11am
Tuesday, Dec. 5 2023
Ben Adcock
(Simon Fraser University)
A general framework for active learning with arbitrary data based on Christoffel functions Concordia, room LB 921-04 (9th floor of J.W. McConnell Building)
S. Brugiapaglia