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| Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework | Oct 19, 2022 | Experimental DesignTime Series Regression | CodeCode Available | 1 |
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| Active Learning for Optimal Intervention Design in Causal Models | Sep 10, 2022 | Active LearningExperimental Design | CodeCode Available | 1 |
| Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments | Jul 19, 2022 | BenchmarkingExperimental Design | CodeCode Available | 1 |
| Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning | Jun 21, 2022 | Dimensionality ReductionExperimental Design | CodeCode Available | 1 |
| Marginal Post Processing of Bayesian Inference Products with Normalizing Flows and Kernel Density Estimators | May 25, 2022 | Bayesian InferenceExperimental Design | CodeCode Available | 1 |
| VICE: Variational Interpretable Concept Embeddings | May 2, 2022 | Experimental DesignObject | CodeCode Available | 1 |