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State Space Models

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Showing 551–600 of 923 papers

TitleStatusHype
Nonparametric risk bounds for time-series forecasting—0
Direct identification of continuous-time linear switched state-space models—0
Normalizing Kalman Filters for Multivariate Time Series Analysis—0
Differentiable Particle Filtering using Optimal Placement Resampling—0
Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models—0
Numerical Investigation of Sequence Modeling Theory using Controllable Memory Functions—0
Observability conditions for neural state-space models with eigenvalues and their roots of unity—0
Differentiable Bootstrap Particle Filters for Regime-Switching Models—0
Demystifying the Token Dynamics of Deep Selective State Space Models—0
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation—0
On-line Bayesian parameter estimation in general non-linear state-space models: A tutorial and new results—0
Online Joint State Inference and Learning of Partially Unknown State-Space Models—0
Delay Embedding Theory of Neural Sequence Models—0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network—0
What comes after transformers? -- A selective survey connecting ideas in deep learning—0
On Recursive State Estimation for Linear State-Space Models Having Quantized Output Data—0
On Symmetries in Analytic Input-Output Systems—0
On the computation of stable coupled state-space models for dynamic substructuring applications—0
On the dimension of pullback attractors in recurrent neural networks—0
DefMamba: Deformable Visual State Space Model—0
On the Herdability of Linear Time-Invariant Systems with Special Topological Structures—0
On the locality bias and results in the Long Range Arena—0
On the Parameterization and Initialization of Diagonal State Space Models—0
On the Power of Convolution Augmented Transformer—0
On the reduction of Linear Parameter-Varying State-Space models—0
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues—0
Deep Variational Luenberger-type Observer for Stochastic Video Prediction—0
Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach—0
UnHiPPO: Uncertainty-aware Initialization for State Space Models—0
Deep State Space Recurrent Neural Networks for Time Series Forecasting—0
OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction—0
Age-at-harvest models as monitoring and harvest management tools for Wisconsin carnivores—0
Deep State Space Models for Unconditional Word Generation—0
Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models—0
Deep State Space Models for Time Series Forecasting—0
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models—0
PAC-Bayesian theory for stochastic LTI systems—0
PackMamba: Efficient Processing of Variable-Length Sequences in Mamba training—0
Pairs Trading with Nonlinear and Non-Gaussian State Space Models—0
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization—0
Parallelizing Autoregressive Generation with Variational State Space Models—0
Parallelizing Linear Transformers with the Delta Rule over Sequence Length—0
Parallel Sequence Modeling via Generalized Spatial Propagation Network—0
Deep Linear Hawkes Processes—0
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation—0
UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection—0
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models—0
Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost—0
Particle filter-based Gaussian process optimisation for parameter inference—0
Particle Gibbs with Ancestor Sampling—0
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