Research Output per year
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2006 2020
Validation of structural brain connectivity networks: The impact of scanning parameters
Ambrosen, K. S., Eskildsen, S. F., Hinne, M., Krug, K., Lundell, H., Schmidt, M. N., van Gerven, M. A. J., Mørup, M. & Dyrby, T. B., 1 Jan 2020, In : NeuroImage. 204, 13 p., 116207.Research output: Contribution to journal › Journal article › Research › peer-review
A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators.
Vording, M. F., Okeyo, P. O., Rubio Guillamón, J. J., Schmidt, M. N., Larsen, P. E. & Alstrøm, T. S., 2019, (Accepted/In press) Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access
File
Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra
Ghosh, K., Stuke, A., Todorović, M., Jørgensen, P. B., Schmidt, M. N., Vehtari, A. & Rinke, P., 2019, In : Advanced Science. 6, 7 p., 1801367.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Materials property prediction using symmetry-labeled graphs as atomic position independent descriptors
Jørgensen, P. B., Garijo del Río, E., Schmidt, M. N. & Jacobsen, K. W., 2019, In : Physical Review B. 100, 10, 12 p., 104114.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access
File
Peak Detection and Baseline Correction Using a Convolutional Neural Network
Schmidt, M. N., Alstrom, T. S., Svendstorp, M. & Larsen, J., 1 May 2019, Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 . IEEE, p. 2757-2761 8682311Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Projects 2005 2021
Flexible Densities for Deep Generative Models
Nielsen, D., Winther, O. & Schmidt, M. N.
01/01/2019 → 31/12/2021
Project: PhD
Neural Abstract Machines and Program Induction
Larsen, R., Schmidt, M. N. & Hansen, L. K.
Technical University of Denmark
01/01/2018 → 02/03/2021
Project: PhD
Active Deep Learning for Nano Sensor Systems
Vording, M. F., Larsen, J., Alstrøm, T. S. & Schmidt, M. N.
01/08/2017 → 02/10/2020
Project: PhD
A Bayesian Approach to Neural Networks
Jørgensen, P. B., Schmidt, M. N., Mørup, M., Hansen, L. K., Darkner, S. & Lilienfeld, O. A. V.
Technical University of Denmark
15/03/2016 → 12/06/2019
Project: PhD
Modeling Temporal Dynamics in Functional Brain Connectivity
Nielsen, S. F. V., Mørup, M., Madsen, K. H., Schmidt, M. N., Nielsen, F. Å., Eichele, T. & Heskes, T.
15/08/2015 → 14/11/2018
Project: PhD