| Fast, Precise Myelin Water Quantification using DESS MRI and Kernel Learning | Sep 24, 2018 | parameter estimation | CodeCode Available | 0 |
| Parameter Estimation in DAGs from Incomplete Data via Optimal Transport | May 25, 2023 | parameter estimationRepresentation Learning | CodeCode Available | 0 |
| Learning Distributions Generated by One-Layer ReLU Networks | Sep 4, 2019 | parameter estimation | CodeCode Available | 0 |
| Symbolic Recovery of Differential Equations: The Identifiability Problem | Oct 15, 2022 | parameter estimation | CodeCode Available | 0 |
| Scalable Algorithms for Learning High-Dimensional Linear Mixed Models | Mar 12, 2018 | parameter estimationVocal Bursts Intensity Prediction | CodeCode Available | 0 |
| Fenrir: Physics-Enhanced Regression for Initial Value Problems | Feb 2, 2022 | Numerical Integrationparameter estimation | CodeCode Available | 0 |
| Parameter estimation for biochemical reaction networks using Wasserstein distances | Oct 21, 2019 | Bayesian Optimizationparameter estimation | CodeCode Available | 0 |
| A Stochastic Lomax Diffusion Process: Statistical Inference and Application | Jan 5, 2021 | parameter estimation | CodeCode Available | 0 |
| A Statistical Framework for Ranking LLM-Based Chatbots | Dec 24, 2024 | Chatbotparameter estimation | CodeCode Available | 0 |
| Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference | Jan 7, 2025 | Density Estimationparameter estimation | CodeCode Available | 0 |
| Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers for Clustering Count Data | Nov 13, 2023 | ClusteringModel Selection | CodeCode Available | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation | Feb 1, 2022 | Computational Efficiencyparameter estimation | CodeCode Available | 0 |
| A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models | Jul 14, 2025 | Bayesian InferenceEpidemiology | CodeCode Available | 0 |
| Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes | Aug 25, 2017 | General Classificationparameter estimation | CodeCode Available | 0 |
| BitHEP -- The Limits of Low-Precision ML in HEP | Apr 4, 2025 | parameter estimationregression | CodeCode Available | 0 |
| 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 |
