# Pacific Interdisciplinary hub on Optimal Transport

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: Laetitia Chapel

Optimal transport operates on empirical distributions which may contain acquisition artifacts, such as outliers or noise, thereby hindering a robust calculation of the OT map. Additionally, it necessitates equal mass between the two distributions...

Scientific, Seminar

Kantorovich Initiative Seminar: Yair Shenfeld

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

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, Conference

Women in Optimal Transport

Scientific, Seminar

Kantorovich Initiative Seminar: Giuseppe Savare

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

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

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

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

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

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...

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Professor of Mathematics, University of Washington

Professor of Mathematics, University of British Columbia

Associate Professor of Mathematics, University of Alberta