| Learning meaningful representations of protein sequences NS Detlefsen, S Hauberg, W Boomsma Nature communications 13 (1), 1914, 2022 | 118 | 2022 |
| Torchmetrics-measuring reproducibility in pytorch NS Detlefsen, J Borovec, J Schock, AH Jha, T Koker, L Di Liello, D Stancl, ... Journal of Open Source Software 7 (70), 4101, 2022 | 86 | 2022 |
| Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ... Scientific reports 11 (1), 3246, 2021 | 84 | 2021 |
| Lung segmentation from chest X-rays using variational data imputation R Selvan, EB Dam, NS Detlefsen, S Rischel, K Sheng, M Nielsen, A Pai arXiv preprint arXiv:2005.10052, 2020 | 62 | 2020 |
| Deep diffeomorphic transformer networks NS Detlefsen, O Freifeld, S Hauberg Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 57 | 2018 |
| Reliable training and estimation of variance networks N Skafte, M Jørgensen, S Hauberg Advances in Neural Information Processing Systems 32, 2019 | 51 | 2019 |
| Explicit disentanglement of appearance and perspective in generative models N Skafte, S Hauberg Advances in Neural Information Processing Systems 32, 2019 | 49 | 2019 |
| Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, and William Falcon. Torchmetrics-measuring reproducibility in pytorch NS Detlefsen, J Borovec, J Schock Journal of Open Source Software 7 (70), 4101, 2022 | 48 | 2022 |
| Diffeomorphic temporal alignment nets RA Shapira Weber, M Eyal, N Skafte, O Shriki, O Freifeld Advances in neural information processing systems 32, 2019 | 39 | 2019 |
| Reliable training and estimation of variance networks NS Detlefsen, M Jørgensen, S Hauberg arXiv preprint arXiv:1906.03260, 2019 | 31 | 2019 |
| Laplacian autoencoders for learning stochastic representations M Miani, F Warburg, P Moreno-Muñoz, N Skafte, S Hauberg Advances in Neural Information Processing Systems 35, 21059-21072, 2022 | 9 | 2022 |
| Lung segmentation from chest X-rays using variational data imputation. arXiv 2020 R Selvan, EB Dam, NS Detlefsen, S Rischel, K Sheng, M Nielsen, A Pai arXiv preprint arXiv:2005.10052, 0 | 8 | |
| Stochman NS Detlefsen, A Pouplin, CW Feldager, C Geng, D Kalatzis, H Hauschultz, ... GitHub. Note: https://github. com/MachineLearningLifeScience/stochman 3, 4, 2021 | 5 | 2021 |
| Lung Segmentation from Chest X-rays using Variational Data Imputation; 2020 R Selvan, EB Dam, NS Detlefsen, S Rischel, K Sheng, M Nielsen ICML Workshop on The Art of Learning with Missing Values, 2005 | 5 | 2005 |
| Neuro-Tech Revolution: AI-EEG Integration for Advanced Depression Diagnosis B Gabdrakhimov, NS Detlefsen, C Uyanik, O Ejaz, MA Khan, MA Hasan, ... Authorea Preprints, 2023 | | 2023 |
| Is an encoder within reach? H Hauschultz, RBP Moreno-Muños, NS Detlefsen, AA Plessis, S Hauberg arXiv preprint arXiv:2206.01552, 2022 | | 2022 |
| Learning invariant representations from prior knowledge in Deep Learning NS Detlefsen Technical University of Denmark, 2020 | | 2020 |
| Seeded LoRA: Collaborative Fine-Tuning Through Seed Initialization of Adapters AR Salamanca, A Üstün, NS Detlefsen, T Dettmers Workshop on Efficient Systems for Foundation Models II@ ICML2024, 0 | | |
