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State Space Models

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Showing 326–350 of 923 papers

TitleStatusHype
Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective—0
A Recursive Newton Method for Smoothing in Nonlinear State Space Models—0
Adjoint sharding for very long context training of state space models—0
Dynamical Systems as Temporal Feature Spaces—0
A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing—0
Latent Matters: Learning Deep State-Space Models—0
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory—0
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models—0
A Quantitative Review on Language Model Efficiency Research—0
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs—0
Dyadic Mamba: Long-term Dyadic Human Motion Synthesis—0
Block-State Transformers—0
Block-Biased Mamba for Long-Range Sequence Processing—0
Blind Identification of State-Space Models in Physical Coordinates—0
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction—0
Doubly Sparse Variational Gaussian Processes—0
The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models—0
Lambda-Skip Connections: the architectural component that prevents Rank Collapse—0
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models—0
Learning Driver Behaviors Using A Gaussian Process Augmented State-Space Model—0
Learning Stable and Robust Linear Parameter-Varying State-Space Models—0
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems—0
Does Representation Matter? Exploring Intermediate Layers in Large Language Models—0
Do Betting Markets Sense a Goal Coming? Evidence from the German Bundesliga—0
Approximate inference in latent Gaussian-Markov models from continuous time observations—0
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