k-kiirikki/trust-dvine-4d

--- datasets: - k-kiirikki/trust-dvine-4d annotations_creators: - no-annotation language: - en license: apache-2.0 multilinguality: - monolingual size_categories: - n<1K source_datasets: - original task_categories: - other --- # Trust-DVine-4D: Simulation-Based Inference Benchmark (4D) This dataset contains simulation-based inference results for the **4-dimensional DVine** problem from the ["Averting A Crisis in Simulation-Based Inference"](https://arxiv.org/abs/2110.06581) paper. ## Dataset Description The DVine (Dependency Vine) problem evaluates Bayesian inference methods on a 4-dimensional parameter space using a vine copula-based simulator. This dataset contains: ### Reference Data (`vine_reference/`) - `coverage-vine-posterior.npy` - Coverage statistics for the vine posterior - `coverage-vine-mst.npy` - Coverage statistics for the MST (Minimum Spanning Tree) vine - `sbc-vine-posterior.npy` - Simulation-based calibration results for vine posterior - `sbc-vine-mst.npy` - SBC results for MST vine ### Simulation Results (`output/{sample_size}/`) Results organized by number of simulations (sample sizes: 1024, 2048, 4096, 8192, 16384, 32768, 65536, 131072). Each sample size directory contains results from multiple methods (`without-regularization/`): - **MLP methods**: `mlp-{00-04}`, `mlp-bagging-{00-04}`, `mlp-static-{00-04}` - **Flow-SBI methods**: `flow-sbi-{00-04}`, `flow-sbi-bagging-{00-04}`, `flow-sbi-static-{00-04}` ### File Types - `coverage.npy` - Coverage diagnostic arrays - `sbc.npy` - Simulation-based calibration arrays - `diagnostic.npy` - Additional diagnostic metrics - `losses-*.npy` - Training/validation/test losses - `test-loss-functionals.npy` - Test loss functionals - `posterior.pkl` - Serialized posterior samples ## Citation If you use this dataset, please cite: ```bibtex @article{terral2022averting, title={Averting A Crisis in Simulation-Based Inference}, author={Terral, Thomas and others}, journal={arXiv preprint arXiv:2110.06581}, year={2022} } ``` ## Related Datasets - [k-kiirikki/trust-dvine-6d](https://huggingface.co/datasets/k-kiirikki/trust-dvine-6d) - 6-dimensional DVine results