Skip to content

Show all

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.

BibTeX | Tags: Deep Learning, Inverse Problem

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.

Links | BibTeX | Tags: Deep Learning, Inverse Problem

Fronk C; Yun J; Singh P; Petzold. L

Bayesian polynomial neural networks and polynomial neural ordinary differential equations. Journal Article

In: arXiv preprint, 2023.

Links | BibTeX | Tags: Bayesian Inference, Deep Learning, Inverse Problem, Surrogate Modeling

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.

Links | BibTeX | Tags: Bayesian Inference, Inverse Problem, Model Identification

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.

Links | BibTeX | Tags: Bayesian Inference, Deep Learning, Inverse Problem, Surrogate Modeling

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.

Links | BibTeX | Tags: Bayesian Inference, Inverse Problem

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.

Links | BibTeX | Tags: Bayesian Inference, Inverse Problem, Surrogate Modeling

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.

Links | BibTeX | Tags: Bayesian Inference, Deep Learning, Inverse Problem

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.

Links | BibTeX | Tags: Bayesian Inference, Deep Learning, Inverse Problem, Optimization, Software, Surrogate Modeling

Singh P; Hellander A

Hyperparameter optimization for approximate Bayesian computation Proceedings Article

In: 2018 Winter Simulation Conference (WSC), pp. 1718–1729, IEEE 2018.

Links | BibTeX | Tags: Bayesian Inference, Inverse Problem, Optimization

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.

BibTeX | Tags: Bayesian Inference, Inverse Problem, Optimization

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.

Links | BibTeX | Tags: Classification, Inverse Problem, Optimization, Sampling, Surrogate Modeling

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.

Links | BibTeX | Tags: Inverse Problem, Optimization, Sampling, Surrogate Modeling

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.

Links | BibTeX | Tags: Inverse Problem, Optimization, Sampling

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.

Links | BibTeX | Tags: Classification, Inverse Problem, Optimization, Surrogate Modeling

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.

Links | BibTeX | Tags: Inverse Problem, Optimization, Sampling, Surrogate Modeling