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Boelts, Jan
11  Ergebnisse:
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1

Simulation-based inference for efficient identification of ..:

Boelts, Jan ; Harth, Philipp ; Gao, Richard...
PLOS Computational Biology.  19 (2023)  9 - p. e1011406 , 2023
Link: https://doi.org/10.1371/..
 
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2

Flexible and efficient simulation-based inference for model..:

Boelts, Jan ; Lueckmann, Jan-Matthis ; Gao, Richard.
eLife.  11 (2022)  - p. , 2022
Link: https://doi.org/10.7554/..
 
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3

sbi: A toolkit for simulation-based inference:

Tejero-Cantero, Alvaro ; Boelts, Jan ; Deistler, Michael...
Journal of Open Source Software.  5 (2020)  52 - p. 2505 , 2020
Link: https://doi.org/10.21105..
 
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4

sbi: A toolkit for simulation-based inference:

Tejero-Cantero, Álvaro ; Boelts, Jan ; Deistler, Michael...
arxiv:arXiv:2007.09114.  , 2022
Link: https://zenodo.org/recor..
 
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5

GATSBI: Generative Adversarial Training for Simulation-Base..:

Ramesh, Poornima ; Lueckmann, Jan-Matthis ; Boelts, Jan...
http://arxiv.org/abs/2203.06481.  , 2022
Link: http://arxiv.org/abs/220..
 
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6

Model Comparison in Approximate Bayesian Computation:

Boelts, Jan
http://arxiv.org/abs/2203.11276.  , 2022
Link: http://arxiv.org/abs/220..
 
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7

Benchmarking Simulation-Based Inference:

Lueckmann, Jan-Matthis ; Boelts, Jan ; Greenberg, David S..
http://arxiv.org/abs/2101.04653.  , 2021
Link: http://arxiv.org/abs/210..
 
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8

SBI -- A toolkit for simulation-based inference:

Tejero-Cantero, Alvaro ; Boelts, Jan ; Deistler, Michael...
http://arxiv.org/abs/2007.09114.  , 2020
Link: http://arxiv.org/abs/200..
 
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9

sbi: A toolkit for simulation-based inference:

Tejero-Cantero, Álvaro ; Boelts, Jan ; Deistler, Michael...
arxiv:arXiv:2007.09114.  , 2020
Link: https://zenodo.org/recor..
 
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10

Simulation-based inference for efficient identification of ..:

Jan Boelts ; Philipp Harth ; Richard Gao...
https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011406&type=printable.  , 2023
Link: https://doi.org/10.1371/..
 
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11

Flexible and efficient simulation-based inference for model..:

Jan Boelts ; Jan-Matthis Lueckmann ; Richard Gao.
https://elifesciences.org/articles/77220.  , 2022
Link: https://doi.org/10.7554/..
 
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