Mikkel N. Schmidt

Technical University of Denmark

Denmark

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Articles (18)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (13)

Kristoffer Hougaard Madsen

Technical University of Denmark

DENMARK

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Ole Winther

Københavns Universitet

DENMARK

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Tomas Rindzevičius

Technical University of Denmark

DENMARK

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Matthew George Liptrot

Technical University of Denmark

DENMARK

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Elodie Dumont

Technical University of Denmark

DENMARK

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Kristoffer Jon Albers

Technical University of Denmark

DENMARK

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Darko Zibar

Professor at Technical University of Denmark

Technical University of Denmark

DENMARK

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Morten Mørup

Technical University of Denmark

DENMARK

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Arghya Bhowmik

Associate Professor at Technical University of Denmark

Technical University of Denmark

DENMARK

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Peter Bjørn Jørgensen

Technical University of Denmark

DENMARK

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Tim Bjørn Dyrby

Technical University of Denmark

DENMARK

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Tommy Sonne Alstrøm

Technical University of Denmark

DENMARK

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Fumiko Kano Glückstad

Associate Professor

Copenhagen Business School

DENMARK

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Mikkel N. Schmidt

Research Interests

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Articles (18)

Improving generative inverse design of molecular catalysts in small data regime

End-to-End Learning of Transmitter and Receiver Filters in Bandwidth Limited Fiber Optic Communication Systems

Blind Equalization Using a Variational Autoencoder With Second Order Volterra Channel Model

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

Probabilistic PARAFAC2

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

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

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

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

End-to-End Learning for VCSEL-based Optical Interconnects

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

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

Uncovering Cortical Units of Processing From Multi-Layered Connectomes

Raman spectrum matching with contrastive representation learning

Raman spectrum matching with contrastive representation learning

Predictive evaluation of human value segmentations

Bayesian dropout

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

Collaborators (13)

Kristoffer Hougaard Madsen

Ole Winther

Tomas Rindzevičius

Matthew George Liptrot

Elodie Dumont

Kristoffer Jon Albers

Darko Zibar

Morten Mørup

Arghya Bhowmik

Peter Bjørn Jørgensen

Tim Bjørn Dyrby

Tommy Sonne Alstrøm

Fumiko Kano Glückstad

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