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Antreas Antoniou

I am a Machine Learning Research Associate at the University of Edinburgh, supervised by Prof. Amos Storkey. I am a member of the BayesWatch research group and the Adaptive and Neural Computation (ANC) research institute.

Leading my research interests is Multi-Modal Learning, specifically targeting the synergistic integration of text, images, audio, and video data. This is followed by the development of Self-Supervised Methods, inspired by mechanisms of infant learning and principles of evolutionary computation.

Additional key areas include Meta-Learning, Adversarial Learning, and Optimization Techniques Inspired by Evolutionary Optimization. These are applied across both differentiable and gradient-free optimization paradigms. Other relevant research dimensions include Inductive Biases, Scalability, Computational Efficiency, and Memory-Augmented Neural Networks.

For more information see my website: https://antreas.io/home/

Antreas Antoniou's Projects

.tmux icon .tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

clip icon clip

Contrastive Language-Image Pretraining

dagan icon dagan

DAGAN: Data Augmentation Generative Adversarial Networks

datasets icon datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

faceswap-gan icon faceswap-gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

gitignore icon gitignore

A collection of useful .gitignore templates

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