| Data-driven approximation and reduction from noisy data in matrix pencil frameworks | Feb 19, 2022 | State Space Models | —Unverified | 0 |
| Data-Driven Controlled Invariant Sets for Gaussian Process State Space Models | Jul 15, 2024 | State Space Models | —Unverified | 0 |
| Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory | Feb 6, 2025 | Feature EngineeringState Space Models | —Unverified | 0 |
| Deep Bayesian Filter for Bayes-faithful Data Assimilation | May 29, 2024 | State EstimationState Space Models | —Unverified | 0 |
| Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | Jun 14, 2023 | State EstimationState Space Models | —Unverified | 0 |
| Deep Learning-based Approaches for State Space Models: A Selective Review | Dec 15, 2024 | State Space Models | —Unverified | 0 |
| Deep Learning of Dynamic Systems using System Identification Toolbox(TM) | Sep 11, 2024 | Deep LearningState Estimation | —Unverified | 0 |
| Deep Linear Hawkes Processes | Dec 27, 2024 | Point ProcessesState Space Models | —Unverified | 0 |
| Deep State Space Models for Time Series Forecasting | Dec 1, 2018 | Deep LearningProbabilistic Time Series Forecasting | —Unverified | 0 |
| Deep State Space Models for Unconditional Word Generation | Jun 12, 2018 | State Space ModelsText Generation | —Unverified | 0 |
| Deep State Space Recurrent Neural Networks for Time Series Forecasting | Jul 21, 2024 | Kolmogorov-Arnold NetworksState Space Models | —Unverified | 0 |
| Deep Variational Luenberger-type Observer for Stochastic Video Prediction | Feb 12, 2020 | Representation LearningState Space Models | —Unverified | 0 |
| DefMamba: Deformable Visual State Space Model | Jan 1, 2025 | Computational Efficiencyimage-classification | —Unverified | 0 |
| Delay Embedding Theory of Neural Sequence Models | Jun 17, 2024 | Inductive BiasState Space Models | —Unverified | 0 |
| Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation | Dec 1, 2018 | Bayesian InferenceComputational Efficiency | —Unverified | 0 |
| Demystifying the Token Dynamics of Deep Selective State Space Models | Oct 4, 2024 | MambaState Space Models | —Unverified | 0 |
| Differentiable Bootstrap Particle Filters for Regime-Switching Models | Feb 20, 2023 | State Space Models | —Unverified | 0 |
| Differentiable Particle Filtering using Optimal Placement Resampling | Feb 26, 2024 | parameter estimationState Space Models | —Unverified | 0 |
| Direct identification of continuous-time linear switched state-space models | Oct 4, 2022 | State Space Models | —Unverified | 0 |
| Directional Non-Commutative Monoidal Structures for Compositional Embeddings in Machine Learning | May 21, 2025 | State Space Models | —Unverified | 0 |
| Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms | Jun 6, 2018 | Probabilistic ProgrammingState Space Models | —Unverified | 0 |
| Discriminative State Space Models | Dec 1, 2017 | State Space ModelsTime Series | —Unverified | 0 |
| DISENTANGLED STATE SPACE MODELS: UNSUPERVISED LEARNING OF DYNAMICS ACROSS HETEROGENEOUS ENVIRONMENTS | Mar 27, 2019 | PredictionState Space Models | —Unverified | 0 |
| Disentangled State Space Representations | Jun 7, 2019 | regressionState Space Models | —Unverified | 0 |
| StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos | Sep 18, 2024 | Action Recognitionimage-classification | —Unverified | 0 |