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ORCIDFredrik Wrede
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2020 – today
- 2022
[j6]Richard M. Jiang
, Prashant Singh, Fredrik Wrede, Andreas Hellander, Linda R. Petzold:
Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods. PLoS Comput. Biol. 18(1) (2022)- [j5]Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander:
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3353-3365 (2022) - [c2]Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh:
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. IJCNN 2022: 1-10 - 2021
- [b1]Fredrik Wrede:
Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches: Applications in systems biology using Markov jump processes. Uppsala University, Sweden, 2021 - [j4]Prashant Singh, Fredrik Wrede, Andreas Hellander:
Scalable machine learning-assisted model exploration and inference using Sciope. Bioinform. 37(2): 279-281 (2021) - [j3]Richard M. Jiang, Bruno Jacob, Matthew Geiger, Sean Matthew, Bryan Rumsey, Prashant Singh, Fredrik Wrede, Tau-Mu Yi, Brian Drawert, Andreas Hellander, Linda R. Petzold:
Epidemiological modeling in StochSS Live! Bioinform. 37(17): 2787-2788 (2021) - [j2]Richard M. Jiang, Fredrik Wrede, Prashant Singh, Andreas Hellander, Linda R. Petzold:
Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators. BMC Bioinform. 22(1): 339 (2021) - [i3]Fredrik Wrede, Robin Eriksson, Richard M. Jiang, Linda R. Petzold, Stefan Engblom, Andreas Hellander, Prashant Singh:
Robust and integrative Bayesian neural networks for likelihood-free parameter inference. CoRR abs/2102.06521 (2021) - 2020
- [i2]Mattias Åkesson, Prashant Singh, Fredrik Wrede, Andreas Hellander:
Convolutional Neural Networks as Summary Statistics for Approximate Bayesian Computation. CoRR abs/2001.11760 (2020)
2010 – 2019
- 2019
- [j1]Fredrik Wrede, Andreas Hellander:
Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning. Bioinform. 35(24): 5199-5206 (2019) - [c1]Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor:
Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. CCGRID 2019: 576-583 - [i1]Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor:
Adapting The Secretary Hiring Problem for Optimal Hot-Cold Tier Placement under Top-K Workloads. CoRR abs/1901.07335 (2019)
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