| Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks | Dec 16, 2021 | Bayesian InferenceDecision Making | CodeCode Available | 0 | 5 |
| Collaborative Nested Sampling: Big Data vs. complex physical models | Jul 14, 2017 | parameter estimation | CodeCode Available | 0 | 5 |
| Constrained or Unconstrained? Neural-Network-Based Equation Discovery from Data | May 30, 2024 | Equation Discoveryparameter estimation | CodeCode Available | 0 | 5 |
| China's Easily Overlooked Monetary Transmission Mechanism: Monetary Reservoir | Nov 30, 2021 | parameter estimation | CodeCode Available | 0 | 5 |
| Characterisation of Anti-Arrhythmic Drug Effects on Cardiac Electrophysiology using Physics-Informed Neural Networks | Mar 13, 2024 | parameter estimation | CodeCode Available | 0 | 5 |
| Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation | May 11, 2022 | parameter estimationQuantitative MRI | CodeCode Available | 0 | 5 |
| Combined Invariant Subspace \& Frequency-Domain Subspace Method for Identification of Discrete-Time MIMO Linear Systems | Dec 12, 2023 | parameter estimation | CodeCode Available | 0 | 5 |
| Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference | Jan 7, 2025 | Density Estimationparameter estimation | CodeCode Available | 0 | 5 |
| Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach | Aug 23, 2023 | Diagnosticparameter estimation | CodeCode Available | 0 | 5 |
| Cauchy noise loss for stochastic optimization of random matrix models via free deterministic equivalents | Apr 9, 2018 | parameter estimationStochastic Optimization | CodeCode Available | 0 | 5 |
