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| CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuning | Dec 2, 2024 | Bayesian OptimizationEfficient Exploration | —Unverified | 0 |
| Fitting Dynamically Misspecified Models: An Optimal Transportation Approach | Dec 28, 2024 | parameter estimationState Space Models | —Unverified | 0 |
| Fitting networks with a cancellation trick | Feb 23, 2025 | Community Detectionparameter estimation | —Unverified | 0 |
| Fitting the seven-parameter Generalized Tempered Stable distribution to the financial data | Oct 10, 2024 | parameter estimation | —Unverified | 0 |
| Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows | Oct 28, 2024 | CPUGPU | —Unverified | 0 |
| Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC | Mar 25, 2022 | BIG-bench Machine LearningCode Generation | —Unverified | 0 |
| Flexible sampling of discrete data correlations without the marginal distributions | Jun 12, 2013 | ClusteringDimensionality Reduction | —Unverified | 0 |
| Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks | Dec 2, 2024 | parameter estimation | —Unverified | 0 |
| Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks | Sep 20, 2019 | parameter estimation | —Unverified | 0 |
