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181 to 190 of 322 Results
runtimes_co2.ipynb
Oct 7, 2026 - Replication Data for: Uncertainty-Aware Surrogate-Based Amortized Bayesian Inference (UA-SABI)
Jupyter Notebook - 46.3 KB - MD5: 83b5ea0bb47131ff6af7a17688ae2235
runtimes_log_sin.ipynb
Oct 7, 2026 - Replication Data for: Uncertainty-Aware Surrogate-Based Amortized Bayesian Inference (UA-SABI)
Jupyter Notebook - 48.7 KB - MD5: ca9586d9c03dcedd3f4c615b49816ad6
sparse_apc_t_step.stan
Oct 7, 2026 - Replication Data for: Uncertainty-Aware Surrogate-Based Amortized Bayesian Inference (UA-SABI)
Unknown - 2.2 KB - MD5: 0d067cdffc70cc9ca4e9b05260554c10
surrogatebuilder.py
Oct 7, 2026 - Replication Data for: Uncertainty-Aware Surrogate-Based Amortized Bayesian Inference (UA-SABI)
Python Source Code - 3.5 KB - MD5: 75165a345564ff51ba47748afed42061
utils.py
Oct 7, 2026 - Replication Data for: Uncertainty-Aware Surrogate-Based Amortized Bayesian Inference (UA-SABI)
Python Source Code - 7.3 KB - MD5: b144c0fd7f4d5322a30a6052a993772d
visualizer.py
Oct 7, 2026 - Replication Data for: Uncertainty-Aware Surrogate-Based Amortized Bayesian Inference (UA-SABI)
Python Source Code - 63.9 KB - MD5: d0f64107318e236b2bf0245b252dbddf
MODFLOW2K_reference for S0.rar
Aug 31, 2026 - Benchmarking in subsurface hydrological inversion: high-fidelity reference solution and EnKF replication data
RAR Archive - 1.5 MB - MD5: 25ff1a1d609671d0f1006edf44cf7559
results_LV.tar.gz
Aug 13, 2026 - Replication Data for: CODE: A global approach to ODE dynamics learning
Gzip Archive - 8.1 GB - MD5: 16ce1e185081ed369271e7b274369e38
Lotka-Volterra results data
results_Pendulum.tar.gz
Aug 13, 2026 - Replication Data for: CODE: A global approach to ODE dynamics learning
Gzip Archive - 46.3 MB - MD5: 5b95fd4215e1cf33fc6e312b8112b2e0
Pendulum results data
BestModA.m
Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data
Plain Text - 3.8 KB - MD5: 334d4125ef3dbf4db5e34183491e223e
code for producing the best-fit figures
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