Fronk C; Yun J; Singh P; Petzold. L
Bayesian polynomial neural networks and polynomial neural ordinary differential equations. Journal Article
In: PLOS Computational Biology, 2024.
@article{nokey,
title = {Bayesian polynomial neural networks and polynomial neural ordinary differential equations.},
author = {Colby Fronk and Jaewoong Yun and Prashant Singh and Linda Petzold.},
doi = {arXiv:2308.10892},
year = {2024},
date = {2024-08-01},
urldate = {2023-08-01},
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Enberg R; Costa M F; Koay Y S; Moretti S; Singh P; Waltari H
Enhancing Robustness: BSM Parameter Inference with n1D-CNN and Novel Data Augmentation Conference Forthcoming
European AI for Fundamental Physics Conference (to appear), Forthcoming.
@conference{nokey,
title = {Enhancing Robustness: BSM Parameter Inference with n1D-CNN and Novel Data Augmentation},
author = {Rikard Enberg and Max Fusté Costa and Yong Sheng Koay and Stefano Moretti and Prashant Singh and Harri Waltari},
year = {2024},
date = {2024-04-30},
booktitle = {European AI for Fundamental Physics Conference (to appear)},
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Cheng L; Singh P; Ferranti F
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks Journal Article
In: IEEE Access, vol. 12, pp. 55218-55224, 2024.
@article{cheng2024transfer,
title = {Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks},
author = {Liang Cheng and Prashant Singh and Francesco Ferranti},
url = {https://ieeexplore.ieee.org/abstract/document/10486893},
doi = {10.1109/ACCESS.2024.3383790},
year = {2024},
date = {2024-04-02},
urldate = {2024-01-01},
journal = {IEEE Access},
volume = {12},
pages = {55218-55224},
keywords = {Deep Learning, Inverse Problem},
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Enberg R; Costa M F; Koay Y S; Moretti S; Singh P; Waltari H
BSM models and parameter inference via an n-channel 1D-CNN Conference
Sixth annual workshop of the LPCC inter-experimental machine learning working group, CERN, Geneva, 2024.
@conference{nokey,
title = {BSM models and parameter inference via an n-channel 1D-CNN},
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year = {2024},
date = {2024-01-12},
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Jiang R; Singh P; Wrede F; Hellander A; Petzold L
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods Journal Article
In: PLoS computational biology, vol. 18, no. 1, pp. e1009830, 2022.
@article{jiang2022identification,
title = {Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods},
author = {Richard Jiang and Prashant Singh and Fredrik Wrede and Andreas Hellander and Linda Petzold},
url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009830},
doi = {https://doi.org/10.1371/journal.pcbi.1009830},
year = {2022},
date = {2022-01-01},
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tppubtype = {article}
}
Coulier A; Singh P; Sturrock M; Hellander A
Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation Journal Article
In: PLOS Computational Biology, vol. 18, no. 12, pp. e1010683, 2022.
@article{coulier2022systematic,
title = {Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation},
author = {Adrien Coulier and Prashant Singh and Marc Sturrock and Andreas Hellander},
url = {https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010683},
doi = {https://doi.org/10.1371/journal.pcbi.1010683},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {PLOS Computational Biology},
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publisher = {Public Library of Science San Francisco, CA USA},
keywords = {Bayesian Inference, Inverse Problem},
pubstate = {published},
tppubtype = {article}
}
Wrede F; Eriksson R; Jiang R; Petzold L; Engblom S; Hellander A; Singh P
Robust and integrative Bayesian neural networks for likelihood-free parameter inference Proceedings Article
In: 2022 International Joint Conference on Neural Networks (IJCNN), pp. 1–10, IEEE 2022.
@inproceedings{wrede2022robust,
title = {Robust and integrative Bayesian neural networks for likelihood-free parameter inference},
author = {Fredrik Wrede and Robin Eriksson and Richard Jiang and Linda Petzold and Stefan Engblom and Andreas Hellander and Prashant Singh},
url = {https://ieeexplore.ieee.org/abstract/document/9892800
https://arxiv.org/pdf/2102.06521},
doi = {https://doi.org/10.1109/IJCNN55064.2022.9892800},
year = {2022},
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organization = {IEEE},
keywords = {Bayesian Inference, Deep Learning, Inverse Problem, Surrogate Modeling},
pubstate = {published},
tppubtype = {inproceedings}
}
Singh P; Wrede F; Hellander A
Scalable machine learning-assisted model exploration and inference using Sciope Journal Article
In: Bioinformatics, vol. 37, no. 2, pp. 279–281, 2021.
@article{singh2021scalable,
title = {Scalable machine learning-assisted model exploration and inference using Sciope},
author = {Prashant Singh and Fredrik Wrede and Andreas Hellander},
url = {https://academic.oup.com/bioinformatics/article/37/2/279/5876021},
doi = {https://doi.org/10.1093/bioinformatics/btaa673},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Bioinformatics},
volume = {37},
number = {2},
pages = {279--281},
publisher = {Oxford University Press},
keywords = {Bayesian Inference, Deep Learning, Inverse Problem, Optimization, Software, Surrogate Modeling},
pubstate = {published},
tppubtype = {article}
}
Akesson M; Singh P; Wrede F; Hellander A
Convolutional neural networks as summary statistics for approximate bayesian computation Journal Article
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021.
@article{akesson2021convolutional,
title = {Convolutional neural networks as summary statistics for approximate bayesian computation},
author = {Mattias Akesson and Prashant Singh and Fredrik Wrede and Andreas Hellander},
url = {https://ieeexplore.ieee.org/abstract/document/9525290},
doi = {https://doi.org/10.1109/TCBB.2021.3108695},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {IEEE/ACM Transactions on Computational Biology and Bioinformatics},
publisher = {IEEE},
keywords = {Bayesian Inference, Deep Learning, Inverse Problem},
pubstate = {published},
tppubtype = {article}
}
Jiang R M; Wrede F; Singh P; Hellander A; Petzold L R
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators Journal Article
In: BMC bioinformatics, vol. 22, no. 1, pp. 1–17, 2021.
@article{jiang2021accelerated,
title = {Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators},
author = {Richard M Jiang and Fredrik Wrede and Prashant Singh and Andreas Hellander and Linda R Petzold},
url = {https://link.springer.com/article/10.1186/s12859-021-04255-9},
doi = {https://doi.org/10.1186/s12859-021-04255-9},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {BMC bioinformatics},
volume = {22},
number = {1},
pages = {1--17},
publisher = {BioMed Central},
keywords = {Bayesian Inference, Inverse Problem, Surrogate Modeling},
pubstate = {published},
tppubtype = {article}
}
Singh P; Hellander A
Hyperparameter optimization for approximate Bayesian computation Proceedings Article
In: 2018 Winter Simulation Conference (WSC), pp. 1718–1729, IEEE 2018.
@inproceedings{singh2018hyperparameter,
title = {Hyperparameter optimization for approximate Bayesian computation},
author = {Prashant Singh and Andreas Hellander},
url = {https://ieeexplore.ieee.org/abstract/document/8632304
},
doi = {https://doi.org/10.1109/WSC.2018.8632304},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
booktitle = {2018 Winter Simulation Conference (WSC)},
pages = {1718--1729},
organization = {IEEE},
keywords = {Bayesian Inference, Inverse Problem, Optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
Singh P; Hellander A
Multi-objective optimization driven construction of uniform priors for likelihood-free parameter inference Proceedings Article
In: ESM 2018, October 24--26, Ghent, Belgium, pp. 22–27, EUROSIS 2018.
@inproceedings{singh2018multi,
title = {Multi-objective optimization driven construction of uniform priors for likelihood-free parameter inference},
author = {Prashant Singh and Andreas Hellander},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
booktitle = {ESM 2018, October 24--26, Ghent, Belgium},
pages = {22--27},
organization = {EUROSIS},
keywords = {Bayesian Inference, Inverse Problem, Optimization},
pubstate = {published},
tppubtype = {inproceedings}
}
Singh P; van der Herten J; Deschrijver D; Couckuyt I; Dhaene T
A sequential sampling strategy for adaptive classification of computationally expensive data Journal Article
In: Structural and Multidisciplinary Optimization, vol. 55, no. 4, pp. 1425–1438, 2017.
@article{singh2017sequential,
title = {A sequential sampling strategy for adaptive classification of computationally expensive data},
author = {Prashant Singh and Joachim van der Herten and Dirk Deschrijver and Ivo Couckuyt and Tom Dhaene},
url = {https://link.springer.com/article/10.1007/s00158-016-1584-1
https://users.ugent.be/~didschri/papers/2017_04_Springer_SMO.pdf
},
doi = {https://doi.org/10.1007/s00158-016-1584-1},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
journal = {Structural and Multidisciplinary Optimization},
volume = {55},
number = {4},
pages = {1425--1438},
publisher = {Springer Berlin Heidelberg},
keywords = {Classification, Inverse Problem, Optimization, Sampling, Surrogate Modeling},
pubstate = {published},
tppubtype = {article}
}
Vermeeren G; Singh P; Aerts S; Deschrijver D; Dhaene T; Joseph W; Martens L
Surrogate-based fast peak mass-averaged SAR assessment Proceedings Article
In: Annual Meeting of the Bioelectromagnetics Society and the European BioElectromagnetics Association (BioEM 2015), pp. 135–137, 2015.
@inproceedings{vermeeren2015surrogate,
title = {Surrogate-based fast peak mass-averaged SAR assessment},
author = {Günter Vermeeren and Prashant Singh and Sam Aerts and Dirk Deschrijver and Tom Dhaene and Wout Joseph and Luc Martens},
url = {https://biblio.ugent.be/publication/7257304/file/7257373.pdf},
year = {2015},
date = {2015-01-01},
urldate = {2015-01-01},
booktitle = {Annual Meeting of the Bioelectromagnetics Society and the European BioElectromagnetics Association (BioEM 2015)},
pages = {135--137},
keywords = {Inverse Problem, Optimization, Sampling, Surrogate Modeling},
pubstate = {published},
tppubtype = {inproceedings}
}
Singh P; Deschrijver D; Pissoort D; Dhaene T
Adaptive classification algorithm for EMC-compliance testing of electronic devices Journal Article
In: Electronics Letters, vol. 49, no. 24, pp. 1526–1528, 2013.
@article{singh2013adaptive,
title = {Adaptive classification algorithm for EMC-compliance testing of electronic devices},
author = {Prashant Singh and Dirk Deschrijver and Davy Pissoort and Tom Dhaene},
url = {https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/el.2013.2766
https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/el.2013.2766},
doi = {https://doi.org/10.1049/el.2013.2766},
year = {2013},
date = {2013-01-01},
urldate = {2013-01-01},
journal = {Electronics Letters},
volume = {49},
number = {24},
pages = {1526--1528},
publisher = {The Institution of Engineering and Technology},
keywords = {Classification, Inverse Problem, Optimization, Surrogate Modeling},
pubstate = {published},
tppubtype = {article}
}
Singh P; Deschrijver D; Pissoort D; Dhaene T
Accurate hotspot localization by sampling the near-field pattern of electronic devices Journal Article
In: IEEE Transactions on Electromagnetic Compatibility, vol. 55, no. 6, pp. 1365–1368, 2013.
@article{singh2013accurate,
title = {Accurate hotspot localization by sampling the near-field pattern of electronic devices},
author = {Prashant Singh and Dirk Deschrijver and Davy Pissoort and Tom Dhaene},
url = {https://ieeexplore.ieee.org/abstract/document/6522868
https://biblio.ugent.be/publication/4210867/file/4210870.pdf},
doi = {https://doi.org/10.1109/TEMC.2013.2265158},
year = {2013},
date = {2013-01-01},
urldate = {2013-01-01},
journal = {IEEE Transactions on Electromagnetic Compatibility},
volume = {55},
number = {6},
pages = {1365--1368},
publisher = {IEEE},
keywords = {Inverse Problem, Optimization, Sampling},
pubstate = {published},
tppubtype = {article}
}
Singh P; Deschrijver D; Pissoort D; Dhaene T
Efficient measurement procedure for hotspot detection in near-field pattern of electronic devices Proceedings Article
In: BESTCOM Meeting, 2013.
@inproceedings{singh2013efficient,
title = {Efficient measurement procedure for hotspot detection in near-field pattern of electronic devices},
author = {Prashant Singh and Dirk Deschrijver and Davy Pissoort and Tom Dhaene},
url = {https://biblio.ugent.be/publication/4083180/file/4083328.pdf},
year = {2013},
date = {2013-01-01},
urldate = {2013-01-01},
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}