| Efficient Bayesian inference of sigmoidal Gaussian Cox processes C Donner, M Opper Journal of Machine Learning Research 19 (67), 1-34, 2018 | 48 | 2018 |
| GP-ETAS: semiparametric Bayesian inference for the spatio-temporal epidemic type aftershock sequence model C Molkenthin, C Donner, S Reich, G Zöller, S Hainzl, M Holschneider, ... Statistics and computing 32 (2), 29, 2022 | 36 | 2022 |
| Multi-class gaussian process classification made conjugate: Efficient inference via data augmentation T Galy-Fajou, F Wenzel, C Donner, M Opper Uncertainty in artificial intelligence, 755-765, 2020 | 33 | 2020 |
| Extraction and segmentation of sputum cells for lung cancer early diagnosis F Taher, N Werghi, H Al-Ahmad, C Donner Algorithms 6 (3), 512-531, 2013 | 33 | 2013 |
| Approximate inference for time-varying interactions and macroscopic dynamics of neural populations C Donner, K Obermayer, H Shimazaki PLoS computational biology 13 (1), e1005309, 2017 | 31 | 2017 |
| Inverse Ising problem in continuous time: A latent variable approach C Donner, M Opper arXiv preprint arXiv:1709.04495, 2017 | 22 | 2017 |
| Efficient Bayesian inference for a Gaussian process density model C Donner, M Opper arXiv preprint arXiv:1805.11494, 2018 | 17 | 2018 |
| Generative inverse design of multimodal resonant structures for locally resonant metamaterials S Dedoncker, C Donner, R Bischof, L Taenzer, B Van Damme Engineering with Computers, 1-17, 2025 | 11 | 2025 |
| DeePhys: A machine learning–assisted platform for electrophysiological phenotyping of human neuronal networks P Hornauer, G Prack, N Anastasi, S Ronchi, T Kim, C Donner, M Fiscella, ... Stem Cell Reports 19 (2), 285-298, 2024 | 11 | 2024 |
| Ensemble learning and ground-truth validation of synaptic connectivity inferred from spike trains C Donner, J Bartram, P Hornauer, T Kim, D Roqueiro, A Hierlemann, ... PLOS Computational Biology 20 (4), e1011964, 2024 | 10 | 2024 |
| Detection and segmentation of sputum cell for early lung cancer detection N Werghi, C Donner, F Taher, H Al-Ahmad 2012 19th IEEE International Conference on Image Processing, 2813-2816, 2012 | 9 | 2012 |
| Segmentation of sputum cell image for early lung cancer detection N Werghi, C Donner, F Taher, H Alahmad IET Conference on Image Processing (IPR 2012), 213, 2012 | 5 | 2012 |
| Cell extraction from sputum images for early lung cancer detection C Donner, N Werghi, F Taher, H Al-Ahmad 2012 16th IEEE Mediterranean Electrotechnical Conference, 485-488, 2012 | 4 | 2012 |
| Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation P Hornauer, G Prack, N Anastasi, S Ronchi, T Kim, C Donner, M Fiscella, ... bioRxiv, 2022.03. 31.486582, 2022 | 3 | 2022 |
| Scalable multi-class Gaussian process classification via data augmentation T Galy-Fajou, F Wenzel, C Donner, M Opper Proc. NIPS Workshop Approx. Inference, 1-12, 2018 | 2 | 2018 |
| Scalable logit gaussian process classification F Wenzel, T Galy-Fajou, C Donner, M Kloft, M Opper Advances in Approximate Bayesian Inference, NIPS Workshop, 2017 | 2 | 2017 |
| Plasma state monitoring and disruption characterization using multimodal VAEs Y Poels, A Pau, C Donner, G Romanelli, O Sauter, C Venturini, ... Nuclear Fusion 65 (9), 096012, 2025 | 1 | 2025 |
| Optimization of resonant absorbers for passive vibration control: a numerical approach and its experimental validation S Dedoncker, C Donner, L Taenzer, B Van Damme Available at SSRN 4455862, 2022 | 1 | 2022 |
| Bayesian inference of inhomogeneous point process models C Donner PhD thesis, Technische Universität Berlin, 2019 | 1 | 2019 |
| Data-driven modeling for plasma state tracking and analysis: methods and control room integration Y Poels, A Pau, C Venturini, O Sauter, C Donner, G Romanelli, ... 67th Annual Meeting of the APS Division of Plasma Physics, 2025 | | 2025 |
