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Machine Learning Seminar by Pat Langley – Computational Scientific Discovery: Heuristic Search for Communicable Laws and Models

Machine Learning Seminar by Pat Langley – Computational Scientific Discovery: Heuristic Search for Communicable Laws and Models

  Short Bio Dr. Pat Langley serves as Director of the Institute for the Study of Learning and Expertise and as a Research Scientist at Stanford University's Center for Design Research. He has contributed to AI and cognitive...

AI Reading Group on Nov 25 2021: The neural architecture of language: Integrative modeling converges on predictive processing

AI Reading Group on Nov 25 2021: The neural architecture of language: Integrative modeling converges on predictive processing

Where and when: Thursday, Nov 25 at 2-3pm in Google Meet (see the calendar invite for the link). Abstract The neuroscience of perception has recently been revolutionized with an integrative modeling approach in which computation, brain function, and behavior are...

ML Student Seminar on Nov 18 2021: Beyond Recall: Teaching High Quality Language Models to Generalise to Unseen Compositional Questions

ML Student Seminar on Nov 18 2021: Beyond Recall: Teaching High Quality Language Models to Generalise to Unseen Compositional Questions

Where and when: Thursday, Nov 18 at 2-3pm in Google Meets (see the calendar invitation for the link) Speaker: Tim Hartill, supervised by Michael Witbrock and Pat Riddle Abstract: Sequence-to-sequence Transformer-based Language Models pretrained on large text...

ML Student Seminar on Oct 21 2021: Understanding the mechanisms of multiple epidemic waves of COVID-19

ML Student Seminar on Oct 21 2021: Understanding the mechanisms of multiple epidemic waves of COVID-19

Where and when: Thursday, Oct 21 at 2-3pm in Google Meets (see the calendar invitation for the link) Speaker: Johnny Zhu, supervised by Joerg Wicker and Gill Dobbie Abstract: Covid-19 has been raging around the world for more than 20 months. The epidemic has...

Machine Learning Seminar by Mengjie Zhang – Evolutionary Machine Learning: Research, Applications and Challenges

Machine Learning Seminar by Mengjie Zhang – Evolutionary Machine Learning: Research, Applications and Challenges

  Short Bio Mengjie Zhang is a Fellow of Royal Society of New Zealand, a Fellow of IEEE, an IEEE Distinguished Lecturer, currently Professor of Computer Science at Victoria University of Wellington, where he heads the...

AI Reading Group on Sep 2 2021: Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

AI Reading Group on Sep 2 2021: Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

Where and when: Thursday, Sep 2 at 2-3pm in 303S-561 Abstract Machine learning methods offer great promise for fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest radiographs (CXR) and chest computed...

ML Student Seminar on Aug 12 2021: Reinforcement Learning Control for Vapour Compression Refrigeration System

ML Student Seminar on Aug 12 2021: Reinforcement Learning Control for Vapour Compression Refrigeration System

Where and when: Thursday, Aug 12 at 2-3pm in 303S-561 Speaker: Tech Logg Ding, Ph.D. student, Department of Mechanical Engineering Abstract: Refrigeration systems are essential for various cooling applications in modern society. The majority of the refrigeration...

AI Reading Group on Aug 5 2021: Compositional Processing Emerges in Neural Networks Solving Math Problems

AI Reading Group on Aug 5 2021: Compositional Processing Emerges in Neural Networks Solving Math Problems

Where and when: Thursday, Aug 5 at 2-3pm in 303S-561 Abstract A longstanding question in cognitive science concerns the learning mechanisms underlying compositionality in human cognition. Humans can infer the structured relationships (e.g., grammatical rules)...

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...