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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.

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

Karakulev A; Zachariah D; Singh P

Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables Conference

arXiv preprint, vol. arXiv:2312.00585, 2023.

Abstract | Links | BibTeX | Tags: Bayesian Inference, Deep Learning, Optimization, Robust Learning

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

Chu J; Singh P; Toor S

Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities Conference

2023 IEEE 16th International Conference on Cloud Computing (CLOUD), IEEE IEEE, 2023.

Abstract | Links | BibTeX | Tags: Deep Learning, Distributed Computing, Surrogate Modeling

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

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; Elamin M M; Toor S

Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets Proceedings Article

In: 2020 IEEE Green Technologies Conference (GreenTech), pp. 109–114, IEEE 2020.

Links | BibTeX | Tags: Deep Learning, Distributed Computing, Surrogate Modeling