Castro, Daniel C.

9 publications

ICLR 2025 Balancing Act: Diversity and Consistency in Large Language Model Ensembles Ahmed Abdulaal, Chen Jin, Nina Montaña-Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran

ICLR 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones, Fabio De Sousa Ribeiro, Mélanie Roschewitz, Daniel C. Castro, Ben Glocker

ICLR 2024 Causal Modelling Agents: Causal Graph Discovery Through Synergising Metadata- and Data-Driven Reasoning Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montana-Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander

CVPR 2023 Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing Shruthi Bannur, Stephanie Hyland, Qianchu Liu, Fernando Pérez-García, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay

ICLR 2023 Measuring Axiomatic Soundness of Counterfactual Image Models Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker

NeurIPSW 2022 Deep Structural Causal Modelling of the Clinical and Radiological Phenotype of Alzheimer’s Disease Ahmed Abdulaal, Daniel C. Castro, Daniel C. Alexander

ECCVW 2022 Deep Structural Causal Shape Models Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker

ECCV 2022 Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay

JMLR 2019 Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning Daniel C. Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker