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Mikkel Nørgaard Schmidt

 https://orcid.org/0000-0001-6927-8869

  • Richard Petersens Plads, 321, 116

    2800 Kgs. Lyngby

    Denmark

20052021
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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

19 Downloads (Pure)

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, 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

Analysis of Chromatographic Data using the Probabilistic PARAFAC2

Jørgensen, P. J. H., Nielsen, S. F. V., Hinrich, J. L., Schmidt, M. N., Madsen, K. H. & Mørup, M., 2019, Proceedings of Second Workshop on Machine Learning and the Physical Sciences. 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

183 Downloads (Pure)

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
70 Downloads (Pure)

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

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., Schmidt, M. N. & Alstrøm, T. S.

Samfinansieret - Andet

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.

Samfinansieret - Andet

15/08/2015 → 14/11/2018

Project: PhD