Pacific Interdisciplinary hub on Optimal Transport

2021 2024

The Pacific Interdisciplinary hub on Optimal Transport (PIHOT) is a Collaborative Research Group examining the research and applications of Optimal Transportation across a wide audience of researchers, students, industry, policy makers and the general public. 

 

The Kantorovich Initiative is a dedicated website to help foster a community around the topic of Optimal Transportation.

Scientific, Seminar
Kantorovich Initiative Seminar: Yair Shenfeld
April 4, 2024
Online
Density functional theory (DFT) is one of the workhorses of quantum chemistry and material science. In principle, the joint probability of finding a specific electron configuration in a material is governed by a Schrödinger wave equation. But...
Scientific, Seminar
Kantorovich Initiative Seminar: Ziv Goldfeld
February 8, 2024
Online
The Gromov-Wasserstein (GW) distance quantifies dissimilarity between metric measure (mm) spaces and provides a natural alignment between them. As such, it serves as a figure of merit for applications involving alignment of heterogeneous datasets...
Scientific, Seminar
Kantorovich Initiative Seminar: Giuseppe Savare
November 30, 2023
I will try to present an overview of some results of unbalanced optimal transport for positive measures with different total masses, showing the crucial role of the so-called cone representation and of the corresponding homogeneous marginals. The...
Scientific, Seminar
Kantorovich Initiative Seminar: Jason Altschuler
October 12, 2023
Shifted divergences provide a principled way of making information theoretic divergences (e.g. KL) geometrically aware via optimal transport smoothing. In this talk, I will argue that shifted divergences provide a powerful approach towards unifying...
Scientific, Seminar
Kantorovich Initiative Seminar: Jakwang Kim
September 28, 2023
Online
Deep learning-based approaches have succeeded surprisingly in various fields of sciences. In particular, one of the first and most successful achievements of them is image classification. Now, deep learning-based algorithms perform even better than...
Scientific, Seminar
PHIOT CRG Seminar: Aaron Palmer
February 25, 2021
The optimal transport problem provides a fundamental and quantitative way to measure the distance between probability distributions. Recently, it has been successfully used to analyze the evolutionary dynamics in physics and biology. Motivated by...
Scientific, Seminar
PHIOT CRG Seminar: Giovanni Conforti
March 25, 2021
The theory of large deviations provides with a way to compute asymptotically the probability that an interacting particle system moves from a given configuration to another one over a fixed time interval. The problem of finding the most likely...
Scientific, Seminar
PIHOT CRG Seminar: Guillaume Carlier
June 5, 2021
Online
Entropic optimal transport has received a lot of attention in recent years and has become a popular framework for computational optimal transport thanks to the Sinkhorn scaling algorithm. In this talk, I will discuss the multi-marginal case which...
Scientific, Seminar
PIHOT CRG Seminar: Jan-Christian Hutter
September 30, 2021
Online
The theory of optimal transport (OT) gives rise to distance measures between probability distributions that take the geometry of the underlying space into account. OT is often used in the analysis of point cloud data, for example in domain adaptation...
Professor of Mathematics, University of Washington
Professor of Mathematics, University of British Columbia
Associate Professor of Mathematics, University of Alberta