Ilse, Maximilian

7 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

MLHC 2023 AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier Gonzalez Hernandez, Julia Greissl, Edward Meeds

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

ICML 2021 Selecting Data Augmentation for Simulating Interventions Maximilian Ilse, Jakub M Tomczak, Patrick Forré

NeurIPSW 2020 Problems Using Deep Generative Models for Probabilistic Audio Source Separation Maurice Frank, Maximilian Ilse

ICLRW 2019 DIVA: Domain Invariant Variational Autoencoder Maximilian Ilse, Jakub M. Tomczak, Christos Louizos, Max Welling

ICML 2018 Attention-Based Deep Multiple Instance Learning Maximilian Ilse, Jakub Tomczak, Max Welling