Daniel C. Castro
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
4
Active years
2022–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Balancing Act: Diversity and Consistency in Large Language Model Ensembles. | Ahmed Abdulaal, Chen Jin, Nina Montaa Brown, Aryo Pradipta Gema, Daniel C. Castro, Daniel C. Alexander, Philip Alexander Teare, Tom Diethe, Dino Oglic, Amrutha Saseendran |
| 2025 | ICLR | Rethinking Fair Representation Learning for Performance-Sensitive Tasks. | Charles Jones, Fabio De Sousa Ribeiro, Mlanie Roschewitz, Daniel C. Castro, Ben Glocker |
| 2024 | ECCV | RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing. | Fernando Prez-Garca, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel C. Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse |
| 2024 | ICLR | Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. | Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaa Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander |
| 2023 | CVPR | Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. | Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Prez-Garca, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay |
| 2023 | EMNLP | Exploring the Boundaries of GPT-4 in Radiology. | Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Prez-Garca, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle |
| 2023 | ICLR | Measuring axiomatic soundness of counterfactual image models. | Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel C. Castro, Ben Glocker |
| 2022 | ECCV | Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing. | Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie L. Hyland, Maria Wetscherek, Tristan Naumann, Aditya V. Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay |
| 2022 | ECCV | Deep Structural Causal Shape Models. | Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker |