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State Space Models

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Showing 626–650 of 923 papers

TitleStatusHype
Pretrained Hybrids with MAD Skills—0
Data-based computation of stabilizing minimum dwell times for discrete-time switched linear systems—0
PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks—0
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systems—0
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo—0
CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration—0
Adjoint sharding for very long context training of state space models—0
Probabilistic Transformer For Time Series Analysis—0
Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentation—0
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems—0
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
QMamba: Post-Training Quantization for Vision State Space Models—0
QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models—0
Variational-Based Nonlinear Bayesian Filtering with Biased Observations—0
Cross-Modal State-Space Graph Reasoning for Structured Summarization—0
Coupling techniques for nonlinear ensemble filtering—0
Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model—0
Quantification of mismatch error in randomly switching linear state-space models—0
Variational excess risk bound for general state space models—0
Quantizing Small-Scale State-Space Models for Edge AI—0
Why are state-space models more expressive than n-gram models?—0
CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting—0
Counterfactual Analysis in Dynamic Latent State Models—0
Variational Gaussian Process State-Space Models—0
Reachability Analysis of ARMAX Models—0
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