Maximilian Ilse

7 papers · 2018–2024 · 6 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird

Venues

ICML (2) ACL (1) CVPR (1) ECCV (1) MIDL (1) MLHC (1)

Top co-authors

Javier Alvarez-Valle (3) Fernando Pérez-García (3) Harshita Sharma (3) Sam Bond-Taylor (2) Kenza Bouzid (2) Shruthi Bannur (2) Max Welling (2) Anton Schwaighofer (2) Matthew P. Lungren (2) Valentina Salvatelli (2)

Research topics

Deep Learning (5) Machine Learning (5) Artificial Intelligence (4) Application Areas (3) Models (3) Architectures (2) Core AI (2) Learning Paradigms (2) Learning Types · Machine Learning (2) Computer Vision (1) Core Methods (1) Domain-Specific (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

multimodal learning (2) domain generalization (2) generative model (2) medical imaging (2) variational autoencoder (2) data augmentation (1) empirical risk minimization (1) multiple instance learning (1) latent subspace (1) biomedical imaging (1) latent representation (1) spurious correlation (1) interventional data (1) unlabeled data (1) bag classification (1) radiology report generation (1) temporal structure (1) permutation invariant (1) image encoder (1) report generation (1)

Papers

MAIRA at RRG24: A specialised large multimodal model for radiology report generation ACL 2024 RadEdit: stress-testing biomedical vision models via diffusion image editing ECCV 2024 AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires MLHC 2023 Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing CVPR 2023 Selecting Data Augmentation for Simulating Interventions ICML 2021 DIVA: Domain Invariant Variational Autoencoders MIDL 2020 Attention-based Deep Multiple Instance Learning ICML 2018