Adam Prugel-Bennett

Adam Prugel-Bennett

University of Southampton

H-index: 39

Europe-United Kingdom

About Adam Prugel-Bennett

Adam Prugel-Bennett, With an exceptional h-index of 39 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Southampton, specializes in the field of Machine Learning, Optimisation, Mathematical Modelling, Probability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multilevel Explainable Artificial Intelligence: Visual and Linguistic Bonded Explanations

Semantic Segmentation by Semantic Proportions

Orthogonalising gradients to speed up neural network optimisation

MULTILEVEL XAI: VISUAL AND LINGUISTIC BONDED EXPLANATIONS

Guiding labelling effort for efficient learning with georeferenced images

On the effects of artificial data modification

Compositing Foreground and Background Using Variational Autoencoders

Unsupervised Representation Learning via Information Compression

Adam Prugel-Bennett Information

University

Position

___

Citations(all)

5813

Citations(since 2020)

2336

Cited By

4169

hIndex(all)

39

hIndex(since 2020)

22

i10Index(all)

81

i10Index(since 2020)

37

Email

University Profile Page

University of Southampton

Google Scholar

View Google Scholar Profile

Adam Prugel-Bennett Skills & Research Interests

Machine Learning

Optimisation

Mathematical Modelling

Probability

Top articles of Adam Prugel-Bennett

Title

Journal

Author(s)

Publication Date

Multilevel Explainable Artificial Intelligence: Visual and Linguistic Bonded Explanations

IEEE Transactions on Artificial Intelligence

Halil Ibrahim Aysel

Xiaohao Cai

Adam Prugel-Bennett

2023/8/25

Semantic Segmentation by Semantic Proportions

arXiv preprint arXiv:2305.15608

Halil Ibrahim Aysel

Xiaohao Cai

Adam Prügel-Bennett

2023/5/24

Orthogonalising gradients to speed up neural network optimisation

arXiv preprint arXiv:2202.07052

Mark Tuddenham

Adam Prügel-Bennett

Jonathan Hare

2022/2/14

MULTILEVEL XAI: VISUAL AND LINGUISTIC BONDED EXPLANATIONS

Halil Ibrahim Aysel

Xiaohao Cai

Adam Prugel-Bennett

2022/9/29

Guiding labelling effort for efficient learning with georeferenced images

IEEE Transactions on Pattern Analysis and Machine Intelligence

Takaki Yamada

Miguel Massot Campos

Adam Prugel-Bennett

Oscar Pizarro

Stefan B Williams

...

2022/1/4

On the effects of artificial data modification

Antonia Marcu

Adam Prugel-Bennett

2022/6/28

Compositing Foreground and Background Using Variational Autoencoders

Zezhen Zeng

Jonathon Hare

Adam Prügel-Bennett

2022/6/1

Unsupervised Representation Learning via Information Compression

Zezhen Zeng

Jonathon Hare

Adam Prügel-Bennett

2022/6/1

Generalisation and the Risk--Entropy Curve

arXiv preprint arXiv:2202.07350

Dominic Belcher

Antonia Marcu

Adam Prügel-Bennett

2022/2/15

RotLSTM: Rotating Memories in Recurrent Neural Networks

arXiv preprint arXiv:2105.00357

Vlad Velici

Adam Prügel-Bennett

2021/5/1

Geoclr: Georeference contrastive learning for efficient seafloor image interpretation

Field Robotics

Takaki Yamada

Adam Prügel-Bennett

Stefan B Williams

Oscar Pizarro

Blair Thornton

2022/7/9

Learning features from georeferenced seafloor imagery with location guided autoencoders

Journal of Field Robotics

Takaki Yamada

Adam Prügel‐Bennett

Blair Thornton

2020/5/28

Leveraging metadata in representation learning with georeferenced seafloor imagery

IEEE Robotics and Automation Letters

Takaki Yamada

Miquel Massot-Campos

Adam Prügel-Bennett

Stefan B Williams

Oscar Pizarro

...

2021/8/4

What Remains of Visual Semantic Embeddings

arXiv preprint arXiv:2107.11991

Yue Jiao

Jonathon Hare

Adam Prügel-Bennett

2021/7/26

On data-centric myths

arXiv preprint arXiv:2111.11514

Antonia Marcu

Adam Prügel-Bennett

2021/11/22

Language Models as Zero-shot Visual Semantic Learners

arXiv preprint arXiv:2107.12021

Yue Jiao

Jonathon Hare

Adam Prügel-Bennett

2021/7/26

On the Effects of Data Distortion on Model Analysis and Training

Antonia Marcu

Adam Prugel-Bennett

2021/11/9

Object detection for crabs in top-view seabed imagery

arXiv preprint arXiv:2105.02964

Vlad Velici

Adam Prügel-Bennett

2021/5/2

Towards observation condition agnostic fauna detection and segmentation in seafloor imagery for biomass estimation

Jenny Walker

Adam Prugel-Bennett

Blair Thornton

2021

The probability companion for engineering and computer science

Adam Prügel-Bennett

2020/1/23

See List of Professors in Adam Prugel-Bennett University(University of Southampton)