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ML Student Seminar on July 15 2021: Machine Learning for Detecting Vision Problem in Young Children

ML Student Seminar on July 15 2021: Machine Learning for Detecting Vision Problem in Young Children

by Katharina Dost | Jul 12, 2021 | ML Student Seminar, News

Where and when: Thursday, July 15 at 2-3pm in 303S-561 Speakers: Jason Turuwhenua is a Senior Research Fellow and Principal Investigator for the Eye Health and Diagnostics Lab at the Auckland Bioengineering Institute. Jason is interested in the application of...
AI Reading Group on July 8 2021: Extending Shannon’s ionic radii database using machine learning

AI Reading Group on July 8 2021: Extending Shannon’s ionic radii database using machine learning

by Katharina Dost | Jul 1, 2021 | AI Reading Group, News

Where and when: Thursday, July 8 at 2-3pm in 303S-561 Abstract In computational material design, ionic radius is one of the most important physical parameters used to predict material properties. Motivated by the progress in computational materials science and...
ML Student Seminar on July 1 2021: Text Generation from Table Data and Background Knowledge

ML Student Seminar on July 1 2021: Text Generation from Table Data and Background Knowledge

by Katharina Dost | Jun 24, 2021 | ML Student Seminar, News

Where and when: Thursday, July 1 at 2-3pm in 303S-561 Speaker: Qianqian Qi (Beryl), PhD student, supervised by Michael Witbrock and Jiamou Liu Abstract: Controlling text generation according to some specification is an important research area. Semantic representation...
AI Reading Group on June 24 2021: SuperGlue: Learning Feature Matching with Graph Neural Networks

AI Reading Group on June 24 2021: SuperGlue: Learning Feature Matching with Graph Neural Networks

by Katharina Dost | Jun 17, 2021 | AI Reading Group, News

Where and when: Thursday, June 24 at 2-3pm in 303S-561 Abstract This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points. Assignments are estimated by solving a...

ML Student Seminar on June 17 2021: Defining Explainability Via Mental Models

by Katharina Dost | Jun 10, 2021 | ML Student Seminar, News

Where and when: Thursday, June 17 at 2-3pm in 303S-561 Speaker: Mike Merry, PhD student, supervised by Pat Riddle, and Jim Warren Abstract: Wide-ranging concerns exist regarding the use of black-box artificial intelligence (AI) in sensitive contexts. Despite...
Provisional Year Seminar – Yupan Wang – Graph Representation Learning of Core/Periphery Structures in  Networks

Provisional Year Seminar – Yupan Wang – Graph Representation Learning of Core/Periphery Structures in Networks

by Joerg Simon Wicker | May 31, 2021 | News, PYR, Seminar

Provisional Year Review – Yupan Wang – Graph Representation Learning of Core/Periphery Structures in Networks May 31, 2021 1:00 pm - 2:00 pm Provisional Year Seminar , Seminar Download iCal file for this...
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