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State Space Models

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Showing 501–550 of 923 papers

TitleStatusHype
Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective—0
Tuning Frequency Bias of State Space Models—0
Dynamical Systems as Temporal Feature Spaces—0
Message-Passing State-Space Models: Improving Graph Learning with Modern Sequence Modeling—0
Meta-Dynamical State Space Models for Integrative Neural Data Analysis—0
Meta-Learning for Physically-Constrained Neural System Identification—0
Meta-Learning of Neural State-Space Models Using Data From Similar Systems—0
Turbo-ICL: In-Context Learning-Based Turbo Equalization—0
Method for estimating hidden structures determined by unidentifiable state-space models and time-series data based on the Groebner basis—0
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models—0
Mimetic Initialization Helps State Space Models Learn to Recall—0
MinGRU-Based Encoder for Turbo Autoencoder Frameworks—0
Mitigating Copy Bias in In-Context Learning through Neuron Pruning—0
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs—0
ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2—0
MM-UNet: Meta Mamba UNet for Medical Image Segmentation—0
Dyadic Mamba: Long-term Dyadic Human Motion Synthesis—0
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction—0
Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models—0
Among-site variability in the stochastic dynamics of East African coral reefs—0
Modelling Emotion Dynamics in Song Lyrics with State Space Models—0
Model order reduction of deep structured state-space models: A system-theoretic approach—0
Doubly Sparse Variational Gaussian Processes—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
StableMamba: Distillation-free Scaling of Large SSMs for Images and Videos—0
MT-PCR: A Hybrid Mamba-Transformer with Spatial Serialization for Hierarchical Point Cloud Registration—0
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba—0
Multi-Agent Reinforcement Learning with Selective State-Space Models—0
Multi-Head State Space Model for Speech Recognition—0
Unbiased Estimation of the Gradient of the Log-Likelihood for a Class of Continuous-Time State-Space Models—0
Multimodal Instruction Tuning with Hybrid State Space Models—0
Disentangled State Space Representations—0
Multi-Response Heteroscedastic Gaussian Process Models and Their Inference—0
DISENTANGLED STATE SPACE MODELS: UNSUPERVISED LEARNING OF DYNAMICS ACROSS HETEROGENEOUS ENVIRONMENTS—0
Discriminative State Space Models—0
Neural Ordinary Differential Equations for Nonlinear System Identification—0
Neural Physicist: Learning Physical Dynamics from Image Sequences—0
Neural population dynamics in songbird RA and HVC during learned motor-vocal behavior—0
Alternators With Noise Models—0
Uncertainty-preserving deep knowledge tracing with state-space models—0
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability—0
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms—0
Understanding and Improving Length Generalization in Recurrent Models—0
NIMBA: Towards Robust and Principled Processing of Point Clouds With SSMs—0
Directional Non-Commutative Monoidal Structures for Compositional Embeddings in Machine Learning—0
A general recurrent state space framework for modeling neural dynamics during decision-making—0
Non-asymptotic Error Analysis of Subspace Identification for Deterministic Systems—0
Non asymptotic estimation lower bounds for LTI state space models with Cramér-Rao and van Trees—0
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