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

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2019
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A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators

Vording, Maximillian Fornitz ; Okeyo, Peter O. ; Rubio Guillamón, Juan José ; Schmidt, Mikkel Nørgaard ; Larsen, Peter Emil ; Alstrøm, Tommy Sonne
part of: Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing, 2019
Presented at:
2019 IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2019     |    DOI: https://doi.org/10.1109/MLSP.2019.8918876

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Analysis of Chromatographic Data using the Probabilistic PARAFAC2

Jørgensen, Philip Johan Havemann ; Nielsen, Søren F. V. ; Hinrich, Jesper Løve ; Schmidt, Mikkel Nørgaard ; Madsen, Kristoffer Hougaard ; Mørup, Morten
part of: Proceedings of Second Workshop on Machine Learning and the Physical Sciences, 2019
Presented at:
33rd Conference on Neural Information Processing Systems

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2019

 

Peak Detection and Baseline Correction Using a Convolutional Neural Network

Schmidt, Mikkel N. ; Alstrom, Tommy S. ; Svendstorp, Marcus ; Larsen, Jan
part of: Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 , pages: 2757-2761, 2019
Presented at:
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2019     |    DOI: https://doi.org/10.1109/ICASSP.2019.8682311

2018
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Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials

Jørgensen, Peter Bjørn ; Jacobsen, Karsten Wedel ; Schmidt, Mikkel Nørgaard
Presented at:
32nd Conference on Neural Information Processing Systems

Type: Paper

Status: Published     |    Year: 2018

 

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
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
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
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
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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
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
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

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Modeling dynamic functional connectivity using a wishart mixture model

Nielsen, Søren Føns Vind ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, pages: 1-4, 2017
Presented at:
2017 International Workshop on Pattern Recognition in Neuroimaging

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: https://doi.org/10.1109/PRNI.2017.7981505