Nori, Aditya

9 publications

ECCV 2024 RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing Fernando Pérez-García, Sam Bond-Taylor, Pedro Sanchez, Boris van Breugel, Daniel Coelho de Castro, Harshita Sharma, Valentina Salvatelli, Maria Teodora A Wetscherek, Hannah CM Richardson, Lungren Matthew, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse

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

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

NeurIPS 2022 Repairing Neural Networks by Leaving the Right past Behind Ryutaro Tanno, Melanie F. Pradier, Aditya Nori, Yingzhen Li

ICML 2020 Alleviating Privacy Attacks via Causal Learning Shruti Tople, Amit Sharma, Aditya Nori

ICML 2019 Adaptive Neural Trees Ryutaro Tanno, Kai Arulkumaran, Daniel Alexander, Antonio Criminisi, Aditya Nori

ICML 2018 Semi-Supervised Learning via Compact Latent Space Clustering Konstantinos Kamnitsas, Daniel Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori

NeurIPS 2016 Measuring Neural Net Robustness with Constraints Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya Nori, Antonio Criminisi

ICML 2013 One-Bit Compressed Sensing: Provable Support and Vector Recovery Sivakant Gopi, Praneeth Netrapalli, Prateek Jain, Aditya Nori