Prashant Singh
Umeå universitet
H-index: 12
Europe-Sweden
Top articles of Prashant Singh
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Transfer learning-assisted inverse modeling in nanophotonics based on mixture density networks | arxiv preprint arXiv:2401.12254 | Liang Cheng Prashant Singh Francesco Ferranti | 2024 |
Adaptive Parameter-Free Robust Learning using Latent Bernoulli Variables | arXiv preprint arXiv:2312.00585 | Aleksandr Karakulev Dave Zachariah Prashant Singh | 2023/12/1 |
Bayesian polynomial neural networks and polynomial neural ordinary differential equations | arXiv preprint arXiv:2308.10892 | Colby Fronk Jaewoong Yun Prashant Singh Linda Petzold | 2023/8/17 |
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities | Junjie Chu Prashant Singh Salman Toor | 2023/7/2 | |
Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation | PLOS Computational Biology | Adrien Coulier Prashant Singh Marc Sturrock Andreas Hellander | 2022/12/15 |
Robust and integrative Bayesian neural networks for likelihood-free parameter inference | Fredrik Wrede Robin Eriksson Richard Jiang Linda Petzold Stefan Engblom | 2022/7/18 | |
Scalable federated machine learning with fedn | Morgan Ekmefjord Addi Ait-Mlouk Sadi Alawadi Mattias Åkesson Prashant Singh | 2022/5/16 | |
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods | PLoS computational biology | Richard Jiang Prashant Singh Fredrik Wrede Andreas Hellander Linda Petzold | 2022/1/31 |
To test, or not to test: A proactive approach for deciding complete performance test initiation | Omar Javed Prashant Singh Giles Reger Salman Toor | 2022/12/17 | |
Proactive autoscaling for edge computing systems with kubernetes | Li Ju Prashant Singh Salman Toor | 2021/12/6 | |
Epidemiological modeling in StochSS Live! | Bioinformatics | Richard Jiang Bruno Jacob Matthew Geiger Sean Matthew Bryan Rumsey | 2021/9/1 |
Convolutional neural networks as summary statistics for approximate Bayesian computation | IEEE/ACM Transactions on Computational Biology and Bioinformatics | Mattias Åkesson Prashant Singh Fredrik Wrede Andreas Hellander | 2021/8/30 |
Scalable machine learning-assisted model exploration and inference using Sciope | Bioinformatics | Prashant Singh Fredrik Wrede Andreas Hellander | 2021/1/15 |
Towards Smart e-Infrastructures, A Community Driven Approach Based on Real Datasets | Prashant Singh Mona Mohamed Elamin Salman Toor | 2020/4/1 |
Co-Authors
