Cornelius Emde

According to our database, Cornelius Emde authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Shh, don't say that! Domain Certification in LLMs.

Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Bernard Ghanem, Philip H. S. Torr, Adel Bibi

CoRR, February, 2025

Benchmarking Predictive Coding Networks - Made Simple.

Luca Pinchetti, Chang Qi, Oleh Lokshyn, Cornelius Emde, Amine M'Charrak, Mufeng Tang, Simon Frieder, Bayar Menzat, Gaspard Oliviers, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Certification of Uncertainty Calibration under Adversarial Attacks.

Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Shh, don't say that! Domain Certification in LLMs.

Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Guillaume Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting.

Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdala Espinosa, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu

CoRR, 2024

Benchmarking Predictive Coding Networks - Made Simple.

Luca Pinchetti, Chang Qi, Oleh Lokshyn, Gaspard Olivers, Cornelius Emde, Mufeng Tang, Amine M'Charrak, Simon Frieder, Bayar Menzat, Rafal Bogacz, Thomas Lukasiewicz, Tommaso Salvatori

CoRR, 2024

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, Thomas Lukasiewicz

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting.

Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdalá Morgado, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm.

Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz

CoRR, 2022

Explaining Chest X-Ray Pathologies in Natural Language.

Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

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, Thomas Lukasiewicz

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021