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| Learning minimal volume uncertainty ellipsoids | May 3, 2024 | parameter estimation | CodeCode Available | 0 |
| Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning | Oct 5, 2022 | Diffusion MRIparameter estimation | CodeCode Available | 0 |
| A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms | Nov 8, 2018 | Bayesian Inferenceparameter estimation | CodeCode Available | 0 |
| Trainable Projected Gradient Detector for Massive Overloaded MIMO Channels: Data-driven Tuning Approach | Dec 25, 2018 | parameter estimation | CodeCode Available | 0 |
| Learning Parametric Distributions from Samples and Preferences | May 29, 2025 | Language ModelingLanguage Modelling | CodeCode Available | 0 |
| Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures | Feb 27, 2025 | Clusteringparameter estimation | CodeCode Available | 0 |
| Newton-based maximum likelihood estimation in nonlinear state space models | Feb 12, 2015 | parameter estimationState Space Models | CodeCode Available | 0 |
| Bi-Level optimization for parameter estimation of differential equations using interpolation | May 31, 2025 | Model Discoveryparameter estimation | CodeCode Available | 0 |
| Parameter estimation for WMTI-Watson model of white matter using encoder-decoder recurrent neural network | Mar 1, 2022 | DecoderDiffusion MRI | CodeCode Available | 0 |
