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Prof Kate Smith Miles_Colloquium_09 Sept 2022
In search of trustworthy algorithms ... show us the stress-testing! by Kate Smith-Miles
Myth-busting Mathematics | Professor Kate Smith-Miles
Andrea Lodi et al. - Panel discussion Machine Learning in Combinatorial Optimization
Kate Smith-Miles, Mathematician
Prof Kate Smith-Miles - ARC College of Experts
Solution Prediction via Machine Learning for Combinatorial Optimization
Recent Advances in Integrating Machine Learning and Combinatorial Optimization - Tutorial at AAAI-21
Maxime Gasse - Machine Learning for Combinatorial Optimization Challenge - Introduction
Prof Kate Smith-Miles' Message for Women in Maths Day
Using Quantum Computers Today: Practical Applications & Combinatorial Problems
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Last Updated: October 1, 2026
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Key note talk from the ML4CO Challenge Winner session at NeurIPS2021. Find the introduction, the three winners' presentation, ... STEM Talks 2017 Myth-busting Mathematics Professor Panel discussion from the ML4CO Challenge Winner session at NeurIPS2021. Find the introduction, the three winners' ... Discover how applied mathematics and a passion for music helps What goes on in Canberra when the ARC College of Experts gather to decide which researchers and projects get funded? The Webinar given by Prof Xiaodong Li from RMIT University, Australia. Organiser: IEEE Taskforce on Evolutionary Scheduling ... Tutorial webpage with slides: sites.google.com/view/ml-co-aaai-21/ Presented by: Elias B. Khalil (University of Toronto), ... While large-scale, fault-tolerant quantum computers are still in development, today's noisy intermediate-scale quantum (NISQ) ...
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