I am a Senior Lecturer (Associate Professor) at the School of Engineering, University of Edinburgh. I co-lead the Bayesian and Neural Systems research group.
My research interests include:
- simplifying machine learning
- AutoML, especially neural architecture search
- efficient network training
- low-resource deep learning
- engineering applications of machine learning
I have an MEng in Engineering Science and a DPhil (PhD), both from the University of Oxford. My DPhil was on "Visual recognition in Art using Machine Learning" with Andrew Zisserman in the VGG group. After my DPhil, I was a postdoc at the School of Informatics in Edinburgh with Amos Storkey.
I hold an EPSRC New Investigator Award and I am an investigator on the dAIEdge Horizon Network.Team
Current:- Linus Ericsson (Postdoc)
- Miguel Espinosa (PhD student)
- Shiwen Qin (PhD student, with Shay Cohen)
- Cameron Barker (PhD student, with Henry Gouk)
- Chenhongyi Yang (PhD student)
- Jack Turner (PhD student, with Michael O'Boyle)
News
- October 2024. I am Area Chairing for ICLR 2025
- September 2024. einspace was accepted to NeurIPS 2024
- August 2024. I have been promoted to Senior Lecturer (Associate Professor)
- July 2024. Our PlainMamba paper was accepted to BMVC 2024
- July 2024. Our pose estimation paper was accepted to ECCV 2024, and our transformer-based Bird's-Eye-View 3D detection paper was accepted to IROS 2024
- June 2024. We have created einspace: an expressive search space for NAS. For a high level intro and an interactive architecture visualiser, see the project page
- April 2024. More preprints! A strong, simple baseline for egocentric 3D pose estimation and an investigation into HPO for continual learning
- March 2024. We have joined the Mamba bandwagon (Mambwagon?) in our latest preprint!
- February 2024. Chenhongyi's paper on active learning for object detection was accepted to CVPR 2024
- February 2024. I will be a co-investigator on the EPSRC AI Hub for Causality in Healthcare AI with Real Data (CHAI)
- January 2024. I have been nominated for an EUSA Teaching Award
- January 2024. I am co-organising this year's NAS Unseen-Data competition as part of AutoML 2024
- January 2024. I am co-organising the Fifth Workshop on Neural Architecture Search at CVPR 2024
Carefully Selected Publications
einspace: Searching for Neural Architectures from Fundamental Operations
Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
A new expressive search space for neural architecture search.
Neural Architecture Search without Training
Joseph Mellor, Jack Turner, Amos Storkey, Elliot J. Crowley
A low-cost measure for scoring networks at initialisation that can be used to perform neural architecture search in seconds.
Neural Architecture Search as Program Transformation Exploration
ASPLOS 2021 (Distinguished Paper)
Jack Turner, Elliot J. Crowley, Michael O'Boyle
A compiler-oriented approach to neural architecture search which can generate new convolution operations.
einspace: Searching for Neural Architectures from Fundamental Operations
Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
A new expressive search space for neural architecture search.
Neural Architecture Search without Training
Joseph Mellor, Jack Turner, Amos Storkey, Elliot J. Crowley
A low-cost measure for scoring networks at initialisation that can be used to perform neural architecture search in seconds.
Neural Architecture Search as Program Transformation Exploration
ASPLOS 2021 (Distinguished Paper)
Jack Turner, Elliot J. Crowley, Michael O'Boyle
A compiler-oriented approach to neural architecture search which can generate new convolution operations.
Thanks to Jack Turner and Chenhongyi Yang for the website template.