Cornelius Emde : Publications
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[1]
A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks
Tommaso Salvatori‚ Yuhang Song‚ Yordan Yordanov‚ Beren Millidge‚ Lei Sha‚ Cornelius Emde‚ Zhenghua Xu‚ Rafal Bogacz and Thomas Lukasiewicz
In Proceedings of the 12th International Conference on Learning Representations‚ ICLR 2024‚ Vienna‚ Austria‚ 7–11 May 2024. May, 2024.
Details about A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks | BibTeX data for A Stable‚ Fast‚ and Fully Automatic Learning Algorithm for Predictive Coding Networks
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[2]
Fool Me Once? Contrasting Vision− and Language−based Explanations in a Clinical Decision−Support Setting
Maxime Kayser‚ Bayar Menzat‚ Cornelius Emde‚ Bogdan Bercean‚ Bartlomiej W. Papiez‚ Alex Novak‚ Abdala Espinosa‚ Susanne Gaube‚ Thomas Lukasiewicz and Oana−Maria Camburu
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2024‚ Miami‚ Florida‚ November 12−16‚ 2024. November, 2024.
Details about Fool Me Once? Contrasting Vision− and Language−based Explanations in a Clinical Decision−Support Setting | BibTeX data for Fool Me Once? Contrasting Vision− and Language−based Explanations in a Clinical Decision−Support Setting
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[3]
Explaining Chest X−ray Pathologies in Natural Language
Maxime Kayser‚ Cornelius Emde‚ Oana Camburu‚ Guy Parsons‚ Bartlomiej Papiez and Thomas Lukasiewicz
In Linwei Wang‚ Qi Dou‚ P. Thomas Fletcher‚ Stefanie Speidel and Shuo Li, editors, Proceedings of the 25th International Conference on Medical Image Computing and Computer−Assisted Intervention‚ MICCAI 2022‚ Singapore‚ 18–22 September 2022. Vol. 13435 of Lecture Notes in Computer Science (LNCS). Pages 701–713. Springer. September, 2022.
Details about Explaining Chest X−ray Pathologies in Natural Language | BibTeX data for Explaining Chest X−ray Pathologies in Natural Language | Link to Explaining Chest X−ray Pathologies in Natural Language
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[4]
e−ViL: A Dataset and Benchmark for Natural Language Explanations in Vision−Language Tasks
Maxime Kayser‚ Oana−Maria Camburu‚ Leonard Salewski‚ Cornelius Emde‚ Virginie Do‚ Zeynep Akata and Thomas Lukasiewicz
In Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision‚ ICCV 2021‚ Virtual Conference‚ October 11–17‚ 2021. October, 2021.
Details about e−ViL: A Dataset and Benchmark for Natural Language Explanations in Vision−Language Tasks | BibTeX data for e−ViL: A Dataset and Benchmark for Natural Language Explanations in Vision−Language Tasks | Link to e−ViL: A Dataset and Benchmark for Natural Language Explanations in Vision−Language Tasks