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Nicki Skafte Detlefsen
Nicki Skafte Detlefsen
Postdoc, Section for Cognitive Systems, Technical University of Denmark (DTU)
Verified email at dtu.dk - Homepage
Title
Cited by
Cited by
Year
Learning meaningful representations of protein sequences
NS Detlefsen, S Hauberg, W Boomsma
Nature communications 13 (1), 1914, 2022
912022
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
802021
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
552022
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
552020
Deep diffeomorphic transformer networks
NS Detlefsen, O Freifeld, S Hauberg
Proceedings of the IEEE conference on computer vision and pattern …, 2018
482018
Explicit disentanglement of appearance and perspective in generative models
N Skafte, S Hauberg
Advances in Neural Information Processing Systems 32, 2019
462019
Reliable training and estimation of variance networks
N Skafte, M Jørgensen, S Hauberg
Advances in Neural Information Processing Systems 32, 2019
452019
Diffeomorphic temporal alignment nets
RA Shapira Weber, M Eyal, N Skafte, O Shriki, O Freifeld
Advances in neural information processing systems 32, 2019
332019
Reliable training and estimation of variance networks
NS Detlefsen, M Jørgensen, S Hauberg
arXiv preprint arXiv:1906.03260, 2019
302019
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
282022
Stochman
NS Detlefsen, A Pouplin, CW Feldager, C Geng, D Kalatzis, H Hauschultz, ...
GitHub. Note: https://github. com/MachineLearningLifeScience/stochman 3, 4, 2021
52021
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
52005
Ananya Harsh, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, and William Falcon. 2022
NS Detlefsen, J Borovec, J Schock
Torchmetrics-measuring reproducibility in pytorch, 0
5
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
5
Laplacian autoencoders for learning stochastic representations
M Miani, F Warburg, P Moreno-Muņoz, N Skafte, S Hauberg
Advances in Neural Information Processing Systems 35, 21059-21072, 2022
32022
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-Muņos, 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
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