5 papers
Quantitative Risk Management in Volatile Markets with an Expectile-Based Framework for the FTSE Index
Abiodun Finbarrs Oketunji
This research presents a framework for quantitative risk management in volatile markets, specifically focusing on expectile-based methodologies applied to the FTSE 100 index. Tradi…
Predicting 3D Rigid Body Dynamics with Deep Residual Network
Abiodun Finbarrs Oketunji
This study investigates the application of deep residual networks for predicting the dynamics of interacting three-dimensional rigid bodies. We present a framework combining a 3D p…
Engineering A Large Language Model From Scratch
Abiodun Finbarrs Oketunji
The proliferation of deep learning in natural language processing (NLP) has led to the development and release of innovative technologies capable of understanding and generating hu…
Large Language Model (LLM) Bias Index -- LLMBI
Abiodun Finbarrs Oketunji, Muhammad Anas, Deepthi Saina
The Large Language Model Bias Index (LLMBI) is a pioneering approach designed to quantify and address biases inherent in large language models (LLMs), such as GPT-4. We recognise t…
LSTM Network Analysis of Vehicle-Type Fatalities on Great Britain's Roads
Abiodun Finbarrs Oketunji, James Hanify, Salter Heffron-Smith
This study harnesses the predictive capabilities of Long Short-Term Memory (LSTM) networks to analyse and predict road traffic accidents in Great Britain. It addresses the challeng…