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Jan Boelts
Jan Boelts
Sonstige NamenJan Teusen, Jan Bölts
TransferLab - appliedAI Institute for Europe
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Zitiert von
Zitiert von
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SBI--A toolkit for simulation-based inference
A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ...
arXiv preprint arXiv:2007.09114, 2020
1952020
Benchmarking simulation-based inference
JM Lueckmann, J Boelts, D Greenberg, P Goncalves, J Macke
International conference on artificial intelligence and statistics, 343-351, 2021
1402021
Flexible and efficient simulation-based inference for models of decision-making
J Boelts, JM Lueckmann, R Gao, JH Macke
Elife 11, e77220, 2022
262022
GATSBI: Generative adversarial training for simulation-based inference
P Ramesh, JM Lueckmann, J Boelts, Á Tejero-Cantero, DS Greenberg, ...
arXiv preprint arXiv:2203.06481, 2022
242022
Decoding of imaginary motor movements of fists applying spatial filtering in a BCI simulated application
J Boelts, A Cerquera, AF Ruiz-Olaya
Artificial Computation in Biology and Medicine: International Work …, 2015
72015
Comparing neural simulations by neural density estimation
J Boelts, JM Lueckmann, PJ Goncalves, H Sprekeler, JH Macke
2019 Conference on Cognitive Computational Neuroscience, 13-16 September …, 2019
52019
Simulation-based inference for efficient identification of generative models in computational connectomics
J Boelts, P Harth, R Gao, D Udvary, F Yáñez, D Baum, HC Hege, ...
PLOS Computational Biology 19 (9), e1011406, 2023
12023
Model selection via neural density estimation
J Boelts, JM Lueckmann, P Goncalves, H Sprekeler, JH Macke
Conference in Cognitive Computing 2018, Hannover, Germany, 2018
12018
Advancing methods and applicability of simulation-based inference in neuroscience
J Bölts
Universität Tübingen, 2023
2023
Simulation-based inference for efficient identification of generative models in computational connectomics
JH Macke, M Oberlaender, HC Hege, D Baum, F Yáñez, R Gao, P Harth, ...
bio Rxiv, 2023
2023
sbi: Simulation-based inference toolkit
A Tejero-Cantero, J Boelts, M Deistler, JM Lueckmann, C Durkan, ...
Astrophysics Source Code Library, ascl: 2306.002, 2023
2023
GATSBI: Generative Adversarial Training for Simulation-Based Inference
JH Macke, PJ Gonçalves, DS Greenberg, Á Tejero-Cantero, J Boelts, ...
arXiv, 2022
2022
Benchmarking Simulation-Based Inference
J Boelts, JM Lückmann, JH Macke, DS Greenberg, PJ Gonçalves
International Conference on Artificial Intelligence and Statistics, 2021
2021
Bayesian inference for synaptic connectivity rules in anatomically realistic cortical connectomes
J Boelts, P Harth, F Yanez, H Hege, M Oberlaender, JH Macke
Bernstein Conference 2019, 2019
2019
Model Comparison in Approximate Bayesian Computation
J Boelts
Technische Universität Berlin, 2018
2018
Online Decoding of Contour Perception Through EEG
J Boelts
Institute of Cognitive Science, 2015
2015
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