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My research lies at the intersection of computational mathematics and machine learning for applications to large-scale real world problems.

Keywords: Computational Mathematics \bigstar Inverse problems \bigstar  Computer Vision \bigstar Medical Image Analysis  \bigstar Robotics \bigstar Machine Learning.

 

Publications

Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schönlieb
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution
V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb
Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video Recovery
SM Alsaleh, AI Aviles-Rivero, N Debroux, JK Hahn
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
D Kloepfer, AI Aviles-Rivero, D Heydecker
When Labelled Data Hurts: Deep Semi-Supervised Classification with the Graph 1-Laplacian
AI Aviles-Rivero, N Papadakis, R Li, SM Alsaleh, RT Tan, C-B Schonlieb
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
AI Aviles-Rivero, P Sellars, C-B Schönlieb, N Papadakis
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Research Group

Cambridge Image Analysis