Fabio De Sousa Ribeiro

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Medical Image Segmentation

Failure Detection

Diffusion Models

Top Venues

Publications

Mélanie Roschewitz, Fabio De Sousa Ribeiro, Tian Xia, Galvin Khara, Ben Glocker
Counterfactual contrastive learning: robust representations via causal image synthesis. CoRR (2024)
Tian Xia, Mélanie Roschewitz, Fabio De Sousa Ribeiro, Charles Jones, Ben Glocker
Mitigating attribute amplification in counterfactual image generation. CoRR (2024)
Fabio De Sousa Ribeiro, Ben Glocker
Demystifying Variational Diffusion Models. CoRR (2024)
Fabio De Sousa Ribeiro, Kevin Duarte, Miles Everett, Georgios Leontidis, Mubarak Shah
Object-centric Learning with Capsule Networks: A Survey. ACM Comput. Surv. 56 (11) (2024)
Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, Ben Glocker
Grounded Object-Centric Learning. ICLR (2024)
Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention. CoRR (2024)
Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker
Measuring axiomatic soundness of counterfactual image models. CoRR (2023)
Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro, Ozan Oktay, Melissa D. McCradden, Ben Glocker
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging. CoRR (2023)
Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker
High Fidelity Image Counterfactuals with Probabilistic Causal Models. CoRR (2023)
Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker
High Fidelity Image Counterfactuals with Probabilistic Causal Models. ICML (2023)
Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker
Measuring axiomatic soundness of counterfactual image models. ICLR (2023)
Melanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. Trans. Mach. Learn. Res. 2022 (2022)
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. ML4H@NeurIPS (2022)
Margherita Rosnati, Fabio De Sousa Ribeiro, Miguel Monteiro, Daniel Coelho de Castro, Ben Glocker
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation. CoRR (2022)
Fabio De Sousa Ribeiro, Kevin Duarte, Miles Everett, Georgios Leontidis, Mubarak Shah
Learning with Capsules: A Survey. CoRR (2022)
Melanie Bernhardt, Fabio De Sousa Ribeiro, Ben Glocker
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed. CoRR (2022)
Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias
Deep Bayesian Self-Training. Neural Comput. Appl. 32 (9) (2020)
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias
Introducing Routing Uncertainty in Capsule Networks. NeurIPS (2020)
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias
Capsule Routing via Variational Bayes. AAAI (2020)
Fabio De Sousa Ribeiro, Georgios Leontidis, Stefanos D. Kollias
Capsule Routing via Variational Bayes. CoRR (2019)
Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias
Deep Bayesian Uncertainty Estimation for Adaptation and Self-Annotation of Food Packaging Images. CoRR (2018)
Fabio De Sousa Ribeiro, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Georgios Leontidis, Stefanos D. Kollias
An adaptable deep learning system for optical character verification in retail food packaging. EAIS (2018)
Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. CoRR (2018)
Francesco Calivá, Fabio De Sousa Ribeiro, Antonios Mylonakis, Christophe Demazière, Paolo Vinai, Georgios Leontidis, Stefanos D. Kollias
A Deep Learning Approach to Anomaly Detection in Nuclear Reactors. IJCNN (2018)
Fabio De Sousa Ribeiro, Francesco Calivá, Dionysios Chionis, Abdelhamid Dokhane, Antonios Mylonakis, Christophe Demazière, Georgios Leontidis, Stefanos D. Kollias
Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis. SSCI (2018)
Fabio De Sousa Ribeiro, Liyun Gong, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Miao Yu, Georgios Leontidis, Xujiong Ye, Stefanos D. Kollias
An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging. ICIP (2018)