Mikkel Nørgaard Schmidt

Mikkel Nørgaard Schmidt

Associate Professor

DTU COMPUTE
Department of Applied Mathematics and Computer Science

Technical University of Denmark

Richard Petersens Plads

Building 321, room 116

2800 Kgs. Lyngby

Home page

Request a vCard via e-mail.

Publications
Projects
Courses
CV
Loading

Publications rss feed

2018
  PDF

Deep Generative Models for Molecular Science

Jørgensen, Peter Bjørn ; Schmidt, Mikkel Nørgaard ; Winther, Ole
in: Molecular Informatics, vol: 37, issue: 1-2

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1002/minf.201700133

 

Efficient computation for Bayesian comparison of two proportions

Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Statistics and Probability Letters, vol: 145, pages: 57-62

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1016/j.spl.2018.08.011

 

Functional Connectivity using a Wishart Mixture Model

Nielsen, Søren Føns Vind ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of International Workshop on Pattern Recognition in Neuroimaging , 2018
Presented at:
2017 International Workshop on Pattern Recognition in Neuroimaging

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2018

  PDF
 

Predictive assessment of models for dynamic functional connectivity

Nielsen, Søren Føns Vind ; Schmidt, Mikkel Nørgaard ; Madsen, Kristoffer Hougaard ; Mørup, Morten
in: Neuroimage, vol: 171

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1016/j.neuroimage.2017.12.084

 

Testing a Model of Destination Image Formation: Application of Nonparametric Bayesian Relational Modeling to Destination Image Analysis

Glückstad, Fumiko Kano ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: 2018 Global Marketing Conference at Tokyo Proceedings, pages: 63-64, 2018, Global Alliance of Marketing and Management Associations
Presented at:
2018 Global Marketing Conference at Tokyo

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.15444/GMC2018.01.07.02

 

Testing group differences in state transition structure of dynamic functional connectivity models

Nielsen, Søren Føns Vind ; Vidaurre, Diego ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of 2018 International Workshop on Pattern Recognition in Neuroimaging, pages: 1-4, 2018, IEEE
Presented at:
8th International Workshop on Pattern Recognition in Neuroimaging

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1109/PRNI.2018.8423966

 

Understanding Mindsets Across Markets, Internationally

Albers, Kristoffer Jon ; Schmidt, Mikkel Nørgaard ; Litong-Palima, Marisciel ; Mørup, Morten ; Bonnevie, Rasmus ; Kano Glückstad, Fumiko
part of: Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), pages: 159-164, 2018, IEEE
Presented at:
42nd Ieee Annual Computer Software and Applications Conference

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1109/COMPSAC.2018.10221

2017
  PDF

A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy

Alstrøm, Tommy Sonne ; Schmidt, Mikkel Nørgaard ; Rindzevicius, Tomas ; Boisen, Anja ; Larsen, Jan
part of: Proceedings of the 42nd IEEE International Conference on Acostics, Speech and Signal Processing, pages: 2317-21, 2017, IEEE
Presented at:
42nd IEEE International Conference on Acostics, Speech and Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: https://doi.org/10.1109/ICASSP.2017.7952570

 

Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures

Bonnevie, Rasmus ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), pages: 1-6, 2017, IEEE
Presented at:
2017 IEEE international workshop on machine learning for signal processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: https://doi.org/10.1109/MLSP.2017.8168159