| Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models | Oct 12, 2021 | parameter estimationState Estimation | —Unverified | 0 | 0 |
| Data-based optimal estimation of frequency bias: The case of Southwest Power Pool | Feb 7, 2023 | parameter estimation | —Unverified | 0 | 0 |
| Data Compression using Rank-1 Lattices for Parameter Estimation in Machine Learning | Sep 20, 2024 | Data Compressionparameter estimation | —Unverified | 0 | 0 |
| Data-driven Modeling for Distribution Grids Under Partial Observability | Aug 18, 2021 | Decision Makingparameter estimation | —Unverified | 0 | 0 |
| Data-Driven Modeling of Amyloid-beta Targeted Antibodies for Alzheimer's Disease | Mar 11, 2025 | parameter estimation | —Unverified | 0 | 0 |
| Data-driven model selection within the matrix completion method for causal panel data models | Feb 2, 2024 | Matrix CompletionModel Selection | —Unverified | 0 | 0 |
| Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares | May 23, 2025 | Density Estimationparameter estimation | —Unverified | 0 | 0 |
| Data-Driven Theory-guided Learning of Partial Differential Equations using SimultaNeous Basis Function Approximation and Parameter Estimation (SNAPE) | Sep 14, 2021 | parameter estimation | —Unverified | 0 | 0 |
| Data-Free/Data-Sparse Softmax Parameter Estimation with Structured Class Geometries | Jun 3, 2018 | parameter estimation | —Unverified | 0 | 0 |
| DDPM Score Matching and Distribution Learning | Apr 7, 2025 | DenoisingDensity Estimation | —Unverified | 0 | 0 |
| Debiased Graph Neural Networks with Agnostic Label Selection Bias | Jan 19, 2022 | parameter estimationSelection bias | —Unverified | 0 | 0 |
| Decomposing Parameter Estimation Problems | Dec 1, 2014 | parameter estimation | —Unverified | 0 | 0 |
| DECOrrelated feature space partitioning for distributed sparse regression | Feb 8, 2016 | parameter estimationregression | —Unverified | 0 | 0 |
| Deep AutoRegressive Networks | Oct 31, 2013 | Atari Gamesparameter estimation | —Unverified | 0 | 0 |
| DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models | May 4, 2022 | parameter estimation | —Unverified | 0 | 0 |
| Deep Clustered Convolutional Kernels | Mar 6, 2015 | Clusteringparameter estimation | —Unverified | 0 | 0 |
| Deep composition of tensor-trains using squared inverse Rosenblatt transports | Jul 14, 2020 | parameter estimationUncertainty Quantification | —Unverified | 0 | 0 |
| Deep connections between learning from limited labels & physical parameter estimation -- inspiration for regularization | Mar 17, 2020 | parameter estimation | —Unverified | 0 | 0 |
| Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers | Jan 2, 2025 | parameter estimationRepresentation Learning | —Unverified | 0 | 0 |
