Publications (6)
Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19
Nick James, Max Menzies, Jennifer Chan
This paper introduces new methods for analysing the extreme and erratic behaviour of time series to evaluate the impact of COVID-19 on cryptocurrency market dynamics. Across 51 cry…
Novel semi-metrics for multivariate change point analysis and anomaly detection
Nick James, Max Menzies, Lamiae Azizi +1
This paper proposes a new method for determining similarity and anomalies between time series, most practically effective in large collections of (likely related) time series, by m…
The Llama 3 Herd of Models
Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri +556
Modern artificial intelligence (AI) systems are powered by foundation models. This paper presents a new set of foundation models, called Llama 3. It is a herd of language models th…
Semi-metric portfolio optimization: a new algorithm reducing simultaneous asset shocks
Nick James, Max Menzies, Jennifer Chan
This paper proposes a new method for financial portfolio optimization based on reducing simultaneous asset shocks across a collection of assets. This may be understood as an altern…
Time-varying neural network for stock return prediction
Steven Y. K. Wong, Jennifer Chan, Lamiae Azizi +1
We consider the problem of neural network training in a time-varying context. Machine learning algorithms have excelled in problems that do not change over time. However, problems…
AI for Trustworthiness! Credible User Identification on Social Web for Disaster Response Agencies
Rahul Pandey, Hemant Purohit, Jennifer Chan +1
Although social media provides a vibrant platform to discuss real-world events, the quantity of information generated can overwhelm decision making based on that information. By be…