Events
-
-
Atlantic Graph Theory Seminar: Margaret-Ellen Messinger (Mount Allison University)
Zoom seminarReconfiguration for Dominating Sets Given a problem and a set of feasible solutions to that problem, the associated reconfiguration problem involves determining whether one feasible solution to the original problem can be transformed to a different feasible solution through a
-
Dalhousie-AARMS AAMP Seminar: Cyril Letrouit (École Normale Supérieure)
Zoom seminarTitle - 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
-
Atlantic Graph Theory Seminar: Ferenc Bencs (University of Amsterdam)
Zoom seminarIn this talk, I will show regions that contain no complex zeros the edge-cover polynomials of hypergraphs. The edge cover polynomial of a graph $G$ is the generating function of edges that covers $V(G)$. It is known that the zeros
-
Dalhousie-AARMS AAMP Seminar: Micah Milinovich (U. Mississippi)
Zoom seminarTitle: 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
-
AARMS Scientific Machine Learning Seminar: Alison Malcom (Memorial University)
WebEx seminarUsing Normalizing Flows for Seismic Data Interpolation Normalizing Flows are a type of neural network that allow us to map one probability distribution into another. The advantage of such a technique is that they allow us to relate a simple
-
-
AARMS Scientific Machine Learning Seminar: Stijn De Baerdemacker (UNB)
Deep Learning Chemistry: extracting chemical features from Graph Convolutional Neural Networks The task of quantum chemistry is to compute chemical properties of molecular compounds from the fundamental laws of quantum mechanics. This poses a tremendous challenge as the most accurate
-
AARMS Scientific Machine Learning Seminar: Simone Brugiapaglia (Concordia University)
WebEx seminarThe curse of dimensionality and the blessings of sparsity and Monte Carlo sampling: From polynomial approximation to deep learning in high dimensions In data science and scientific computing, the approximation of high-dimensional functions from pointwise samples is a ubiquitous task,
-
Atlantic Graph Theory Seminar: Pjotr Buys (University of Amdsterdam)
Online via ZoomAbout a year ago Jason Brown spoke in our seminar (of the university of Amsterdam) about the two-terminal reliability polynomial and left us with some questions about the closure of the complex zeros of all such polynomials (the zero-locus). In
-
Dalhousie-AARMS AAMP Seminar: Justin Tzou (Macquarie U.)
Zoom seminarTitle: Modeling and analysis of localized vegetation patterns on curved topography Abstract: We propose a two-component reaction-advection-diffusion model for vegetation density and soil water concentration on a curved terrain which accounts for downhill flow of soil water, spatially dependent effective evaporation of
-
Atlantic Graph Theory Seminar: Theodore Kolokolnikov (Dalhousie)
Online via ZoomWe study the algebraic connectivity for several classes of random semi-regular graphs. For large random semi-regular bipartite graphs, we explicitly compute both their algebraic connectivity and as well as the full spectrum distribution. For an integer d in , we