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| BSD: a Bayesian framework for parametric models of neural spectra | Oct 28, 2024 | Bayesian InferenceEEG | CodeCode Available | 2 |
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| CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping | May 27, 2022 | ClusteringObject | CodeCode Available | 1 |
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| Deep Structural Estimation: With an Application to Option Pricing | Feb 18, 2021 | parameter estimation | CodeCode Available | 1 |
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| A new method for parameter estimation in probabilistic models: Minimum probability flow | Jul 17, 2020 | parameter estimation | CodeCode Available | 1 |
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| BayesFlow: Learning complex stochastic models with invertible neural networks | Mar 13, 2020 | Bayesian InferenceEpidemiology | CodeCode Available | 1 |
| Bayesian neural networks via MCMC: a Python-based tutorial | Apr 2, 2023 | Bayesian InferenceDeep Learning | CodeCode Available | 1 |
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| Contemporary Symbolic Regression Methods and their Relative Performance | Jul 29, 2021 | Benchmarkingparameter estimation | CodeCode Available | 1 |
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| End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture | Aug 14, 2015 | General Classificationparameter estimation | CodeCode Available | 1 |
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| A generative nonparametric Bayesian model for whole genomes | May 21, 2021 | Density Estimationparameter estimation | CodeCode Available | 1 |