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| pgmpy: A Python Toolkit for Bayesian Networks | Apr 17, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 4 | 5 |
| The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison | May 21, 2024 | Bayesian InferenceCPU | CodeCode Available | 2 | 5 |
| Interactive Differentiable Simulation | May 26, 2019 | Model Predictive Controlparameter estimation | CodeCode Available | 2 | 5 |
| pyPESTO: A modular and scalable tool for parameter estimation for dynamic models | May 2, 2023 | parameter estimationUncertainty Quantification | CodeCode Available | 2 | 5 |
| Tests for model misspecification in simulation-based inference: from local distortions to global model checks | Dec 19, 2024 | Anomaly Detectionmodel | CodeCode Available | 2 | 5 |
| BSD: a Bayesian framework for parametric models of neural spectra | Oct 28, 2024 | Bayesian InferenceEEG | CodeCode Available | 2 | 5 |
| A Tutorial on Structural Identifiability of Epidemic Models Using StructuralIdentifiability.jl | May 15, 2025 | parameter estimation | CodeCode Available | 2 | 5 |
| ArtGS: Building Interactable Replicas of Complex Articulated Objects via Gaussian Splatting | Feb 26, 2025 | parameter estimation | CodeCode Available | 2 | 5 |
| Scale-invariant Learning by Physics Inversion | Sep 30, 2021 | BIG-bench Machine Learningparameter estimation | CodeCode Available | 2 | 5 |
