Hi! I'm a third-year PhD student in machine learning & computer vision at Queen Mary University of London (QMUL), working with Ioannis Patras, Mihalis A. Nicolaou, and Yannis Panagakis. My PhD research focuses on interpretable and controllable models. I'm interested in both discovering interpretable mechanisms in existing models and designing new layers/architectures that better exhibit such properties from the outset.
News
- [2023.09] One paper accepted at NeurIPS'23
- [2023.07] Started as a PhD Research Intern with Jiankang Deng at Huawei R&D UK
- [2023.01] One paper accepted at ICLR'23
- [2022.03] One paper accepted at CVPR'22
- [2021.09] Started as a PhD student at QMUL
Selected publications
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"Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization"
J. Oldfield, M. Georgopoulos, G. G. Chrysos, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, J. Deng, I. Patras
ArXiv, 2024
[pdf | code | project page] -
"Parts of Speech–Grounded Subspaces in Vision-Language Models"
J. Oldfield, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, I. Patras
NeurIPS, 2023
[pdf | code | project page] -
"PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs"
J. Oldfield, C. Tzelepis, Y. Panagakis, M. A. Nicolaou, I. Patras
ICLR, 2023
[pdf | code | project page] -
"Tensor methods in computer vision and deep learning"
Y. Panagakis, J. Kossaifi, G. G. Chrysos, J. Oldfield, M. A. Nicolaou, A. Anandkumar, S. Zafeiriou
Proceedings of the IEEE, 2021
[pdf | code]
Experience
- [2023.07–2024.01] Research Intern (Huawei Noah's Ark Lab)
- [2019.11–2020.09] Machine Learning Research Intern (The Cyprus Institute)
Teaching
- [2021–2022] (QMUL; TA) ECS708 Machine Learning
- [2021] (QMUL; TA) ECS629 Artificial Intelligence
Awards
- [2021] Full EPSRC Studentship (QMUL): 3.5 years' PhD funding
- [2018] Academic Excellence (£50; HEAR): Ranked #1 in CS department for undergrad