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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

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

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

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...

Machine Learning Seminar by Dr. Alexandre Benoit – Analyzing gamma-ray astronomy data with deep learning and first steps towards explainability

Machine Learning Seminar by Dr. Alexandre Benoit – Analyzing gamma-ray astronomy data with deep learning and first steps towards explainability

Short Bio   Alexandre received PhD degree in electronics and computer science from the University of Grenoble, INP in 2007 (France). Starting 2008, he has been an associate professor at Université Savoie Mont Blanc at LISTIC lab....

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

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...

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

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...

AI Reading Group 06/10/21: Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

AI Reading Group 06/10/21: Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

Where and when: Thursday, June 10 at 2-3pm in 303S-561 Transferability captures the ability of an attack against a machine-learning model to be effective against a different, potentially unknown, model. Empirical evidence for transferability has been shown in...

ML Student Seminar May 20 2021: Multivariate Sequential Analytics for Long-term Chronic Condition Management

ML Student Seminar May 20 2021: Multivariate Sequential Analytics for Long-term Chronic Condition Management

Speaker: William Hsu, PhD student, supervised by Jim Warren and Pat Riddle Abstract: Chronic conditions place a considerable burden on modern healthcare systems. Within New Zealand and worldwide cardiovascular disease (CVD) affects a significant proportion of the...

ML Student Seminar May 6 2021: From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm

ML Student Seminar May 6 2021: From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm

Speaker: Qiming Bao, PhD student, supervised by Jiamou Liu and Michael Witbrock Abstract: Combining deep learning with symbolic reasoning aims to capitalize on the success of both fields and is drawing increasing attention. However, it is yet unknown how much...

ML Student Seminar Apr 22 2021: Domain Adaptation and Bias Mitigation for Regional Varieties of Languages

ML Student Seminar Apr 22 2021: Domain Adaptation and Bias Mitigation for Regional Varieties of Languages

Speaker: Annie Lu, PhD student, supervised by Yun Sing Koh, and Joerg Wicker Abstract: Regional varieties of languages such as dialects have proved to have different syntactic and semantic features in the linguistics discipline. However, these dialects have low...