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Schmidt, Mikkel Nørgaard
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1

Programmatic Policy Extraction by Iterative Local Search:

, In: Inductive Logic Programming; Lecture Notes in Computer Science,
Larsen, Rasmus ; Schmidt, Mikkel Nørgaard - p. 156-166 , 2022
Link: https://doi.org/10.1007/..
 
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2

Surface-enhanced Raman spectroscopic study of DNA and 6-mer..:

Frøhling, Kasper Bayer ; Alstrøm, Tommy Sonne ; Bache, Michael...
Vibrational Spectroscopy.  86 (2016)  - p. 331-336 , 2016
Link: https://doi.org/10.1016/..
 
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3

Programmatic Policy Extraction by Iterative Local Search:

Larsen, Rasmus ; Schmidt, Mikkel Nørgaard
http://arxiv.org/abs/2201.06863.  , 2022
Link: http://arxiv.org/abs/220..
 
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4

Testing a model of destination image formation: Application..:

Glückstad, Fumiko Kano ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
https://orbit.dtu.dk/en/publications/274b8d7c-1b51-4fbb-98cc-922f0189209a.  , 2020
Link: https://orbit.dtu.dk/en/..
 
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5

Materials property prediction using symmetry-labeled graphs..:

Jørgensen, Peter Bjørn ; Garijo del Río, Estefanía ; Schmidt, Mikkel Nørgaard.
https://orbit.dtu.dk/en/publications/30dfbe2e-b331-48ee-a028-efc10bf70795.  , 2019
Link: https://orbit.dtu.dk/en/..
 
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6

Analysis of Chromatographic Data using the Probabilistic PA..:

Jørgensen, Philip Johan Havemann ; Nielsen, Søren F. V ; Hinrich, Jesper Løve...
Jørgensen , P J H , Nielsen , S F V , Hinrich , J L , Schmidt , M N , Madsen , K H & Mørup , M 2019 , Analysis of Chromatographic Data using the Probabilistic PARAFAC2 . in Proceedings of Second Workshop on Machine Learning and the Physical Sciences . 33rd Conference on Neural Information Processing Systems , Vancouver , British Columbia , Canada , 08/12/2019 ..  , 2019
Link: https://orbit.dtu.dk/en/..
 
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7

A Bayesian Generative Model With Gaussian Process Priors Fo..:

Vording, Maximillian Fornitz ; Okeyo, Peter O ; Rubio Guillamón, Juan José...
https://orbit.dtu.dk/en/publications/3acf9d11-72d6-4f07-aafe-78436e37246e.  , 2019
Link: https://orbit.dtu.dk/en/..
 
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8

Efficient computation for Bayesian comparison of two propor..:

Schmidt, Mikkel Nørgaard ; Mørup, Morten
https://orbit.dtu.dk/en/publications/0bca7946-f92a-4bfa-a45d-a5cd65fdf8e9.  , 2018
Link: https://orbit.dtu.dk/en/..
 
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9

Deep Generative Models for Molecular Science:

Jørgensen, Peter Bjørn ; Schmidt, Mikkel Nørgaard ; Winther, Ole
https://orbit.dtu.dk/en/publications/beef283c-4783-45a4-bf1b-335997152afd.  , 2018
Link: https://orbit.dtu.dk/en/..
 
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10

Predictive assessment of models for dynamic functional conn..:

Nielsen, Søren Føns Vind ; Schmidt, Mikkel Nørgaard ; Madsen, Kristoffer Hougaard.
https://orbit.dtu.dk/en/publications/471d1533-226d-406b-9ba1-73705b3a6e96.  , 2018
Link: https://orbit.dtu.dk/en/..
 
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11

Examination of heterogeneous societies: Identifying subpopu..:

Glückstad, Fumiko Kano ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
https://orbit.dtu.dk/en/publications/e82fa1c1-6ba9-400c-ab9f-39f0ed3d4417.  , 2017
Link: https://orbit.dtu.dk/en/..
 
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12

Infinite von Mises-Fisher Mixture Modeling of Whole Brain f..:

Røge, Rasmus ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard.
https://orbit.dtu.dk/en/publications/a591a3cb-7b47-4056-8a14-bf3dda567371.  , 2017
Link: https://orbit.dtu.dk/en/..
 
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13

A pseudo-Voigt component model for high-resolution recovery..:

Alstrøm, Tommy Sonne ; Schmidt, Mikkel Nørgaard ; Rindzevicius, Tomas..
https://orbit.dtu.dk/en/publications/14730e88-0e7e-49d7-b72f-82a9a98325b9.  , 2017
Link: https://orbit.dtu.dk/en/..
 
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14

Modeling dynamic functional connectivity using a wishart mi..:

Nielsen, Søren Føns Vind ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard.
https://orbit.dtu.dk/en/publications/9d301a75-3439-4fa8-bcef-d46daed423b2.  , 2017
Link: https://orbit.dtu.dk/en/..
 
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15

Method and system of detecting a target analyte:

Alstrøm, Tommy Sonne ; Schmidt, Mikkel Nørgaard ; Larsen, Jan...
https://orbit.dtu.dk/en/publications/22d6e05a-a014-4ed1-882b-c710e26929a6.  , 2016
Link: https://orbit.dtu.dk/en/..
 
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