| e-vil: A dataset and benchmark for natural language explanations in vision-language tasks M Kayser, OM Camburu, L Salewski, C Emde, V Do, Z Akata, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 79 | 2021 |
| Difference or delay? A comparison of Bayley-III Cognition item scores of young children with and without developmental disabilities L Visser, C Vlaskamp, C Emde, SAJ Ruiter, ME Timmerman Research in developmental disabilities 71, 109-119, 2017 | 25 | 2017 |
| Explaining chest x-ray pathologies in natural language M Kayser, C Emde, OM Camburu, G Parsons, B Papiez, T Lukasiewicz International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 14 | 2022 |
| Incremental predictive coding: A parallel and fully automatic learning algorithm T Salvatori, Y Song, B Millidge, Z Xu, L Sha, C Emde, R Bogacz, ... arXiv preprint arXiv:2212.00720, 2022 | 10 | 2022 |
| Certified calibration: Bounding worst-case calibration under adversarial attacks C Emde, F Pinto, T Lukasiewicz, P Torr, A Bibi The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | 2 | 2023 |
| A Stable ‚Fast ‚and Fully Automatic Learning Algorithm for Predictive Coding Networks C Emde, T Lukasiewicz, T Salvatori, L Sha, Y Song, Z Xu, Y Yordanov | | 2024 |
| AStable, FAST, AND FULLY AUTOMATIC LEARNING ALGORITHM FOR PREDICTIVE CODING NETWORKS T Salvatori, Y Song, Y Yordanov, B Millidge, C Emde, Z Xu, L Sha, ... | | |
