Events

Design Innovation for Computing Workshop

SUTD x Wiley – Intro to Python Coding

Master of Architecture Lecture series 2022 – ‘Design beyond Zero’

Averaging data distributions is a core subroutine throughout data science. Wasserstein barycenters (a.k.a. Optimal Transport barycenters) provide a natural approach for this problem that captures the geometry of the data, and are central to diverse applications in machine learning, statistics, and computer graphics. However, despite considerable attention, it remained unknown whether Wasserstein barycenters can be computed in polynomial time. Our recent work provides a complete answer to this question and uncovers the subtle dependence of the answer on the dimension due to the continuous nature of the problem.

In this talk, Jason will explain these results and how they fit more broadly into the research program on algorithms for “structured” Multimarginal Optimal Transport problems.
Joint work with Enric Boix

RIE News featured research from a couple of SUTD faculty and researchers in its May 2022 issue – Assistant Prof Pablo Valdivia y Alvarado, Associate Prof Foong Shaohui, Associate Prof Lynette Cheah, Assistant Prof Dorien Herremans, Assistant Prof Jer-Ming Chen and postdoc Balamurali BT.

To read more – https://www.nrf.gov.sg/docs/default-source/default-document-library/nrf-magazine/nrf-magazine-(may-2022).pdf

Conversations in Design, Technology, and Society with Dr. Adam Drazin and Dr. Pauline Garvey

Dong Yanfei (PayPal) – Topics in Graph Neural Networks

James Gan, Le Yi and Kelvin Heng (Gojek) – Gojek’s Causal Inference Based Spending Engine & A Machine Learning Optimal Pricing

David Khoo (IMDA) – Singapore’s 5G Industry Transformation Programme

Barnabé Monnot (Ethereum Foundation) – The road to Ethereum