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ORCIDCornelius Emde
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2020 – today
- 2025
[c7]Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Guillaume Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi:
Shh, don't say that! Domain Certification in LLMs. ICLR 2025- [c6]Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi:
Towards Certification of Uncertainty Calibration under Adversarial Attacks. ICLR 2025 - [c5]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:
Benchmarking Predictive Coding Networks - Made Simple. ICLR 2025 - [i8]Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Bernard Ghanem, Philip H. S. Torr, Adel Bibi:
Shh, don't say that! Domain Certification in LLMs. CoRR abs/2502.19320 (2025) - [i7]Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou, Franziska Sofia Hafner, Harry Mayne, Jan Batzner, Negar Foroutan, Chris Schmitz, Karolina Korgul, Hunar Batra, Oishi Deb, Emma Beharry, Cornelius Emde, Thomas Foster, Anna Gausen, María Grandury, Simeng Han, Valentin Hofmann, Lujain Ibrahim, Hazel Kim, Hannah Rose Kirk, Fangru Lin, Gabrielle Kaili-May Liu, Lennart Luettgau, Jabez Magomere, Jonathan Rystrøm, Anna Sotnikova, Yushi Yang, Yilun Zhao, Adel Bibi, Antoine Bosselut, Ronald Clark, Arman Cohan, Jakob N. Foerster, Yarin Gal, Scott A. Hale, Inioluwa Deborah Raji, Christopher Summerfield, Philip H. S. Torr, Cozmin Ududec, Luc Rocher, Adam Mahdi:
Measuring what Matters: Construct Validity in Large Language Model Benchmarks. CoRR abs/2511.04703 (2025) - 2024
- [c4]Maxime Kayser, Bayar Menzat
, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdalá Morgado, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu:
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting. EMNLP 2024: 18891-18919 - [c3]Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz:
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. ICLR 2024 - [i6]Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi:
Towards Certification of Uncertainty Calibration under Adversarial Attacks. CoRR abs/2405.13922 (2024) - [i5]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:
Benchmarking Predictive Coding Networks - Made Simple. CoRR abs/2407.01163 (2024) - [i4]Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdala Espinosa, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu:
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting. CoRR abs/2410.12284 (2024) - 2022
- [c2]Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz:
Explaining Chest X-Ray Pathologies in Natural Language. MICCAI (5) 2022: 701-713 - [i3]Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz:
Explaining Chest X-ray Pathologies in Natural Language. CoRR abs/2207.04343 (2022) - [i2]Tommaso Salvatori, Yuhang Song, Beren Millidge, Zhenghua Xu, Lei Sha, Cornelius Emde, Rafal Bogacz, Thomas Lukasiewicz:
Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. CoRR abs/2212.00720 (2022) - 2021
- [c1]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. ICCV 2021: 1224-1234 - [i1]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. CoRR abs/2105.03761 (2021)
Coauthor Index
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