List of works - Mikkel Nørgaard Schmidt

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

scientific article published in October 2019

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

Amortized Variational Peak Fitting For Spectroscopic Data

Analysis of Conceptualization Patterns across Groups of People

Bayesian Non-negative Matrix Factorization

scientific article published on 2009

Bayesian community detection

scientific article

Bayesian dropout

scientific article published in January 2022

Bayesian latent feature modeling for modeling bipartite networks with overlapping groups

Bayesian nonnegative Matrix Factorization with volume prior for unmixing of hyperspectral images

Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks

scientific article published on 22 December 2021

Comparing Structural Brain Connectivity by the Infinite Relational Model

scientific article (publication date: June 2013)

Completely random measures for modelling block-structured sparse networks ⬇️

scientific article published in January 2016

Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links

scientific article (publication date: 13 December 2013)

Deep Generative Models for Molecular Science

scientific article

Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

scientific article published on 29 January 2019

Detecting hierarchical structure in networks

scientific article (publication date: May 2012)

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

scientific article published in September 2017

Discovering hierarchical structure in normal relational data

Efficient computation for Bayesian comparison of two proportions

End-to-End Learning for VCSEL-Based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities

Errata to “Bayesian Community Detection” (Neural Computation, Sept. 2012, Vol. 24, No. 9:2434–2456)

Examination of Heterogeneous Societies

article by Fumiko Kano Glückstad et al published 11 October 2016 in Journal of Cross-Cultural Psychology

Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces

scientific article published in January 2023

Haussdorff and hellinger for colorimetric sensor array classification

Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization

Infinite Multiple Membership Relational Modeling for Complex Networks ⬇️

scientific article published on 26 January 2011

Infinite multiple membership relational modeling for complex networks

scientific article from MLSP

Infinite von Mises–Fisher Mixture Modeling of Whole Brain fMRI Data ⬇️

article

Infinite-degree-corrected stochastic block model

scientific article

Joint Iterative Carrier Synchronization and Signal Detection Employing Expectation Maximization

Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough

scientific article (publication date: September 2013)

Latent profile analysis of human values: What is the optimal number of clusters?

scientific article

Linear Regression on Sparse Features for Single-Channel Speech Separation

scholarly article published October 2007

Linearly constrained Bayesian matrix factorization for blind source separation ⬇️

scientific article published in January 2009

Machine Learning: Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra (Adv. Sci. 9/2019)

scholarly article by Kunal Ghosh et al published May 2019 in Advanced Science

Machine learning-based screening of complex molecules for polymer solar cells

scientific article published on 01 June 2018

Modeling dynamic functional connectivity using a wishart mixture model

scientific article published in June 2017

Modelling dense relational data

Multi-View Self-Supervised Learning For Multivariate Variable-Channel Time Series

Nitroaromatic explosives’ detection and quantification using an attention-based transformer on surface-enhanced Raman spectroscopy maps

scientific article published in January 2023

Non-parametric Bayesian graph models reveal community structure in resting state fMRI

scientific article

Nonlinear Impairment Compensation Using Expectation Maximization for PDM 16-QAM Systems

Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission

scientific article

Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation

scientific article published in 2006

Nonnegative matrix factorization with Gaussian process priors ⬇️

scientific article

Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution

scientific article (publication date: June 2014)

Nonparametric Bayesian modeling of complex networks: an introduction

scientific article (publication date: May 2013)

Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data ⬇️

Nonparametric statistical structuring of knowledge systems using binary feature matches

Numerical approximations for speeding up MCMC inference in the infinite relational model

scientific article (publication date: August 2015)

OM-Diff: inverse-design of organometallic catalysts with guided equivariant denoising diffusion

On the effectiveness of partial variance reduction in federated learning with heterogeneous data ⬇️

Peak Detection and Baseline Correction Using a Convolutional Neural Network

scientific article published in May 2019

Predictive assessment of models for dynamic functional connectivity

scientific article published on 29 December 2017

Predictive evaluation of human value segmentations

scientific article published on 17 September 2020

Probabilistic PARAFAC2 ⬇️

Probabilistic PARAFAC2

scientific article published on 17 August 2024

Probabilistic signal estimation for vibrational spectroscopy with a flexible non-stationary Gaussian process baseline model

scientific article published in October 2023

Programmatic Policy Extraction by Iterative Local Search

Raman spectrum matching with contrastive representation learning

scientific article published in January 2022

Reduction of non-stationary noise using a non-negative latent variable decomposition

scholarly article published October 2008

Scalable Group Level Probabilistic Sparse Factor Analysis ⬇️

scientific article (publication date: 14 December 2016)

Structured non-negative matrix factorization with sparsity patterns

Surface-enhanced Raman spectroscopic study of DNA and 6-mercapto-1-hexanol interactions using large area mapping

scientific article (publication date: September 2016)

Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity ⬇️

scientific article published on 23 June 2023

TESTING A MODEL OF DESTINATION IMAGE FORMATION: APPLICATION OF NONPARAMETRIC BAYESIAN RELATIONAL MODELING TO DESTINATION IMAGE ANALYSIS

Testing a model of destination image formation: Application of Bayesian relational modelling and fsQCA ⬇️

journal article from 'Journal of Business Research' published in 2019

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

scientific article published in June 2018

The influence of hyper-parameters in the infinite relational model

scientific article (publication date: September 2016)

Transformation invariant sparse coding

Uncovering Cortical Units of Processing From Multi-Layered Connectomes

scientific article published on 10 March 2022

Understanding Mindsets Across Markets, Internationally: A Public-Private Innovation Project for Developing a Tourist Data Analytic Platform

article

Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior

scientific article

Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization

scholarly article published December 2013

Unsupervised segmentation of task activated regions in fMRI

scientific article (publication date: September 2015)

Using connectomics for predictive assessment of brain parcellations

scientific article

Validation of structural brain connectivity networks: The impact of scanning parameters

scientific article published on 17 September 2019

Whole brain functional connectivity predicted by indirect structural connections

scientific article published on June 2017

List of works by Mikkel Nørgaard Schmidt

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

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

Amortized Variational Peak Fitting For Spectroscopic Data

Analysis of Conceptualization Patterns across Groups of People

Bayesian Non-negative Matrix Factorization

Bayesian community detection

Bayesian dropout

Bayesian latent feature modeling for modeling bipartite networks with overlapping groups

Bayesian nonnegative Matrix Factorization with volume prior for unmixing of hyperspectral images

Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks

Comparing Structural Brain Connectivity by the Infinite Relational Model

Completely random measures for modelling block-structured sparse networks ⬇️

Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links

Deep Generative Models for Molecular Science

Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra

Detecting hierarchical structure in networks

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

Discovering hierarchical structure in normal relational data

Efficient computation for Bayesian comparison of two proportions

End-to-End Learning for VCSEL-Based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities

Errata to “Bayesian Community Detection” (Neural Computation, Sept. 2012, Vol. 24, No. 9:2434–2456)

Examination of Heterogeneous Societies

Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces

Haussdorff and hellinger for colorimetric sensor array classification

Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization

Infinite Multiple Membership Relational Modeling for Complex Networks ⬇️

Infinite multiple membership relational modeling for complex networks

Infinite von Mises–Fisher Mixture Modeling of Whole Brain fMRI Data ⬇️

Infinite-degree-corrected stochastic block model

Joint Iterative Carrier Synchronization and Signal Detection Employing Expectation Maximization

Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough

Latent profile analysis of human values: What is the optimal number of clusters?

Linear Regression on Sparse Features for Single-Channel Speech Separation

Linearly constrained Bayesian matrix factorization for blind source separation ⬇️

Machine Learning: Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra (Adv. Sci. 9/2019)

Machine learning-based screening of complex molecules for polymer solar cells

Modeling dynamic functional connectivity using a wishart mixture model

Modelling dense relational data

Multi-View Self-Supervised Learning For Multivariate Variable-Channel Time Series

Nitroaromatic explosives’ detection and quantification using an attention-based transformer on surface-enhanced Raman spectroscopy maps

Non-parametric Bayesian graph models reveal community structure in resting state fMRI

Nonlinear Impairment Compensation Using Expectation Maximization for PDM 16-QAM Systems

Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission

Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation

Nonnegative matrix factorization with Gaussian process priors ⬇️

Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution

Nonparametric Bayesian modeling of complex networks: an introduction

Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data ⬇️

Nonparametric statistical structuring of knowledge systems using binary feature matches

Numerical approximations for speeding up MCMC inference in the infinite relational model

OM-Diff: inverse-design of organometallic catalysts with guided equivariant denoising diffusion

On the effectiveness of partial variance reduction in federated learning with heterogeneous data ⬇️

Peak Detection and Baseline Correction Using a Convolutional Neural Network

Predictive assessment of models for dynamic functional connectivity

Predictive evaluation of human value segmentations

Probabilistic PARAFAC2 ⬇️

Probabilistic PARAFAC2

Probabilistic signal estimation for vibrational spectroscopy with a flexible non-stationary Gaussian process baseline model

Programmatic Policy Extraction by Iterative Local Search

Raman spectrum matching with contrastive representation learning

Reduction of non-stationary noise using a non-negative latent variable decomposition

Scalable Group Level Probabilistic Sparse Factor Analysis ⬇️

Structured non-negative matrix factorization with sparsity patterns

Surface-enhanced Raman spectroscopic study of DNA and 6-mercapto-1-hexanol interactions using large area mapping

Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity ⬇️

TESTING A MODEL OF DESTINATION IMAGE FORMATION: APPLICATION OF NONPARAMETRIC BAYESIAN RELATIONAL MODELING TO DESTINATION IMAGE ANALYSIS

Testing a model of destination image formation: Application of Bayesian relational modelling and fsQCA ⬇️

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

The influence of hyper-parameters in the infinite relational model

Transformation invariant sparse coding

Uncovering Cortical Units of Processing From Multi-Layered Connectomes

Understanding Mindsets Across Markets, Internationally: A Public-Private Innovation Project for Developing a Tourist Data Analytic Platform

Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior

Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization

Unsupervised segmentation of task activated regions in fMRI

Using connectomics for predictive assessment of brain parcellations

Validation of structural brain connectivity networks: The impact of scanning parameters

Whole brain functional connectivity predicted by indirect structural connections

Wind Noise Reduction using Non-Negative Sparse Coding