Estimating the probability that a given vector is in the convex hull of a random sample
 Hayakawa, S Oberhauser, H Lyons, T
Thu, 26 Jan 2023
12:00
L1

From network dynamics to graph-based learning

Mauricio Barahona
(Department of Mathematics, Imperial College London)
Further Information

Prof. Mauricio Barahona is Chair in Biomathematics and Director of the EPSRC Centre for Mathematics of Precision Healthcare at Imperial. He obtained his PhD at MIT, under Steve Strogatz, followed by a MEC Fellowship at Stanford and the Edison International Fellowship at Caltech. His research is in the development of mathematical and computational methods for the analysis of biological, social and engineering systems using ideas from graph theory, dynamical systems, stochastic processes, optimisation and machine learning.

Abstract

This talk will explore a series of topics and example applications at the interface of graph theory and dynamics, from synchronization and diffusion dynamics on networks, to graph-based data clustering, to graph convolutional neural networks. The underlying links are provided by concepts in spectral graph theory.

Thu, 19 Jan 2023
14:30
L1

Aerodynamics inside and out: Bird respiration and flocking

Leif Ristroph
(Courant Institute)

Note: we would recommend to join the meeting using the Zoom client for best user experience.

Further Information

Leif Ristroph is an Associate Professor of Mathematics at The Courant Institute, New York University.

'He is an experimental physicist and applied mathematician who specializes in fluid dynamics, with a particular emphasis on fluid-structure interactions as applied to biological and geophysical flows. His biophysical work includes studies of the aerodynamics and stabilization of insect flight as well as the hydrodynamics of schooling and flow-sensing in swimming fish. Relevant to geophysical flows, he is interested in problems ranging from instabilities of interfacial flows to the evolution of shape during fluid mechanical erosion.' (taken from https://math.nyu.edu/~ristroph/)

Selected Publications

L. Ristroph and S. Childress, "Stable hovering of a jellyfish-like flying machine", Journal of the Royal Society Interface 11, 20130992 (2014)

L. Ristroph, M. N.J. Moore, S. Childress, M.J. Shelley, and J. Zhang, "Sculpting of an erodible body by flowing water", Proceedings of the National Academy of Sciences 109, 19606 (2012)

B. Liu, L. Ristroph, A. Weathers, S. Childress, and J. Zhang, "Intrinsic stability of a body hovering in an oscillating airflow", Physical Review Letters 108, 068103 (2012)

Abstract

ife forms have devised impressive and subtle ways to exploit fluid flows. I’ll talk about birds as flying machines whose behaviors can give surprising insights into flow physics. One story explains how flocking interactions can help to bring flapping flyers into orderly formations. A second story involves the more subtle role of aerodynamics in the highly efficient breathing of birds, which is thought to be critical to their ability to fly.

 

Pure anti-de Sitter supergravity and the conformal bootstrap
 Alday, L Chester, S Physical Review Letters volume 129 issue 21 (17 Nov 2022)
Fast bayesian inference with batch bayesian quadrature via kernel recombination
 Adachi, M Hayakawa, S Jorgensen, M Oberhauser, H Osborne, M Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) (09 Dec 2022)
Simulation of arbitrage-free implied volatility surfaces
 Cont, R Vuletic, M (11 Dec 2022)
Fri, 10 Feb 2023

14:00 - 15:00
L4

Making ice sheet models scale properly

Ed Bueler
(University of Alaska Fairbanks)
Abstract

My talk will attempt to capture the imperfect state of the art in high-resolution ice sheet modelling, aiming to expose the core performance-limiting issues.  The essential equations for modeling ice flow in a changing climate will be presented, assuming no prior knowledge of the problem.  These geophysical/climate problems are of both free-boundary and algebraic-equation-constrained character.  Current-technology models usually solve non-linear Stokes equations, or approximations thereof, at every explicit time-step.  Scale analysis shows why this current design paradigm is expensive, but building significantly faster high-resolution ice sheet models requires new techniques.  I'll survey some recently-arrived tools, some near-term improvements, and sketch some new ideas.

The metric measure boundary of spaces with Ricci curvature bounded below
 Brué, E Mondino, A Semola, D Geometric and Functional Analysis volume 33 issue 3 593-636 (20 Apr 2023)
The metric measure boundary of spaces with Ricci curvature bounded below
 Mondino, A Brué, E Semola, D Geometric and Functional Analysis
A simulation tool for physics-informed control of biomimetic soft robotic arms
 Moulton, D IEEE Robotics and Automation Letters volume 8 issue 2 936-943 (06 Jan 2023)
Subscribe to