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Course Highlights
MPhil in Machine Learning and Machine Intelligence
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2023 - 2024
2022 - 2023
2021 - 2022
2020 - 2021
2019 - 2020
2018 - 2019
2017 - 2018
2016 - 2017
2015 - 2016
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2023 - 2024
MPhil in Machine Learning and Machine Intelligence
Course Highlights
2023 - 2024
2022 - 2023
2021 - 2022
2020 - 2021
2019 - 2020
2018 - 2019
2017 - 2018
2016 - 2017
2015 - 2016
Course Structure
Academic Staff
Preliminary Reading
How to Apply
Frequently Asked Questions
Contact Us
class_of_2023-2024_for_website_3.jpg
Dissertations
Machine Learning:
Controlled Sampling in Diffusion Models
Efficient and Unbiased Sampling of Molecular Energy Functions via Consistency Models
Energy-Based Diffusion Neural Sampler for Boltzmann Densities
Evaluating Backdoor Defense Techniques for Large Language Models
Evaluating Backdoor Unlearning
Generative Models for Synthesizable Lipids
Learning to Forget with Diffusion Hypernetworks
Mitigating and Assessing Bias and Fairness in Large Language Model-Generated Synthetic Tabular Data
Nonlinear, Scalable Sequential Component Analysis
{On, Off}-The-Grid Data Modelling Using Transformer Neural Processes
Process-Centric Gaussian Processes
Speech and Language Processing:
Automated Situated Task Guidance with Foundation Models
Direct Preference Optimisation for Natural Language Generation with Minimum Bayes Risk Decoding
Reranking Multi-Modal Retrievers for Knowledge-Based Visual Question Answering
Retrofitting Language Models with Dynamic Tokenisation
Second-Order Optimisation and Imbalanced Class Distribution in Emotional Analysis
Computer Vision and Robotics:
A Vision-Language Model as Embodied Manufacturing Agent
Identifying Looted Artefacts
LanGWM: Language Grounded World Model
Modelling Additive Manufacturing Processes via Graph-Conditioned Diffusion Models
Reservoir Computing on Mobile Swarm Dynamical Systems
Human-Computer Interaction
Supervisory Control of a Multi-Arm Telerobotic System Supported by Mixed Reality