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ML Student Seminar on July 29 2021: SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words

ML Student Seminar on July 29 2021: SymbioLCD: Ensemble-Based Loop Closure Detection using CNN-Extracted Objects and Visual Bag-of-Words

by Katharina Dost | Jul 22, 2021 | ML Student Seminar, News

Where and when: Thursday, July 29 at 2-3pm in 303S-561 Speaker: Jonathan Kim, PhD student, supervised by Pat Riddle and Joerg Wicker Abstract: Loop closure detection is an essential tool of Simultaneous Localization and Mapping (SLAM) to minimize drift in its...
AI Reading Group on July 22 2021: Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

AI Reading Group on July 22 2021: Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

by Katharina Dost | Jul 15, 2021 | AI Reading Group, News

Where and when: Thursday, July 22 at 2-3pm in 303S-561 Abstract In this paper, we present a new approach to time series forecasting. Time series data are prevalent in many scientific and engineering disciplines. Time series forecasting is a crucial task in modeling...
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...
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