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State Space Models

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Showing 426–450 of 923 papers

TitleStatusHype
A State Alignment-Centric Approach to Federated System Identification: The FedAlign Framework—0
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems—0
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformers—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model—0
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging—0
Machine Learning Models for Dengue Forecasting in Singapore—0
Lyra: An Efficient and Expressive Subquadratic Architecture for Modeling Biological Sequences—0
Efficient Online Inference and Learning in Partially Known Nonlinear State-Space Models by Learning Expressive Degrees of Freedom Offline—0
LoRA-Mixer: Coordinate Modular LoRA Experts Through Serial Attention Routing—0
Look Every Frame All at Once: Video-Ma^2mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing—0
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters—0
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory—0
LongSSM: On the Length Extension of State-space Models in Language Modelling—0
Efficient learning of hidden state LTI state space models of unknown order—0
Efficient Image Compression Using Advanced State Space Models—0
Long-Context State-Space Video World Models—0
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning—0
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models—0
A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark—0
Log-Linear Attention—0
Efficient Estimation of State-Space Mixed-Frequency VARs: A Precision-Based Approach—0
Localized active learning of Gaussian process state space models—0
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws—0
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution—0
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