• AARMS Scientific Machine Learning Seminar: Peter Dueben (ECMWF)

    WebEx seminar

    This talk provides an overview on the machine learning efforts at the European Centre for Medium-Range Weather Forecasts (ECMWF), and outlines how machine learning, and in particular deep learning, could help to improve weather predictions in the coming years. The talk will

  • Atlantic Graph Theory Seminar: Robert Kooij (Delft University of Technology)

    Zoom seminar

    Robustness of Complex Networks Network Science aims to understand the graph structure of networks and the dynamic processes that take place on networks. Examples of processes on networks are transport of items (IP packets with digitalized  information, cars, containers) and diffusion (epidemics, electric current,

  • Atlantic Graph Theory Seminar: Andrea Burgess (UNB)

    Zoom seminar

    Mutually Orthogonal Cycle Systems A $k$-cycle system of order $n$ is a set of $k$-cycles whose edges partition the edge set of $K_n$.  We say that two cycle systems $\mathcal{C}$ and $\mathcal{C}'$ are {\em orthogonal} if every cycle in $\mathcal{C}$

  • Atlantic Graph Theory Seminar: Melissa Huggan (Mount Allison)

    Zoom seminar

    The Orthogonal Colouring Game The Orthogonal Colouring Game is a combinatorial game in which two players alternately colour vertices of a pair of isomorphic graphs while respecting the properness and the orthogonality of the colouring. Each player aims to maximize

  • Dalhousie-AARMS AAMP Seminar: Cyril Letrouit (École Normale Supérieure)

    Zoom seminar

    Title - Propagation of singularities in subelliptic PDEs Abstract - In this talk, we consider the wave equation where the Laplacian is replaced by a sub-Laplacian (also called ``Hörmander sum of square''), which is an hypoelliptic operator. We handle the

  • Dalhousie-AARMS AAMP Seminar: Micah Milinovich (U. Mississippi)

    Zoom seminar

    Title: Fourier optimization, prime gaps, and zeta zeros Abstract: There are many situations where one imposes certain conditions on a function and its Fourier transform and then wants to optimize a certain quantity. I will describe two ways these types of Fourier optimization problems can arise in the context of the explicit