| A machine-learning framework for robust and reliable prediction of short-and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on … KS Ambrosen, MW Skjerbæk, J Foldager, MC Axelsen, N Bak, ... Translational psychiatry 10 (1), 1-13, 2020 | 43 | 2020 |
| Noise-assisted variational quantum thermalization J Foldager, A Pesah, LK Hansen Scientific reports 12 (1), 3862, 2022 | 28 | 2022 |
| Seasonal variation in biopsy‐proven giant cell arteritis in Eastern Denmark from 1990‐2018 EB Kønig, M Stormly Hansen, J Foldager, V Siersma, A Loft, L Terslev, ... Acta Ophthalmologica 99 (5), 527-532, 2021 | 16 | 2021 |
| Can shallow quantum circuits scramble local noise into global white noise? J Foldager, B Koczor Journal of Physics A: Mathematical and Theoretical 57 (1), 015306, 2023 | 10 | 2023 |
| On the role of Model Uncertainties in Bayesian Optimization J Foldager, M Jordahn, LK Hansen, MR Andersen Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence …, 2023 | 7 | 2023 |
| On convex conceptual regions in deep network representations L Tetková, T Brüsch, TK Scheidt, FM Mager, RØ Aagaard, J Foldager, ... CoRR, 2023 | 3 | 2023 |
| Genetic risk for subjective reports of insomnia associates only weakly with polygraphic measures of insomnia in 2,770 adults J Foldager, PE Peppard, EW Hagen, KL Stone, DS Evans, GJ Tranah, ... Journal of Clinical Sleep Medicine 18 (1), 21-29, 2022 | 2 | 2022 |
| Variational quantum algorithm for enhanced continuous variable optical phase sensing JAH Nielsen, M Kicinski, TN Arge, K Vijayadharan, J Foldager, ... arXiv preprint arXiv:2312.13870, 2023 | 1 | 2023 |
| On convex decision regions in deep network representations L Tětková, T Brüsch, TK Scheidt, FM Mager, RØ Aagaard, J Foldager, ... arXiv preprint arXiv:2305.17154, 2023 | 1 | 2023 |
| Quantum Machine Learning in a World of Uncertainty: Towards Practical Applications with Quantum Neural Networks J Foldager Technical University of Denmark, 2023 | 1 | 2023 |
| On the Role of Model Uncertainties in Bayesian Optimization (Supplementary Material) J Foldager, M Jordahn, LK Hansen, MR Andersen | | |
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk