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State Space Models

Papers

Showing 301350 of 923 papers

TitleStatusHype
A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark0
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters0
Efficient learning of hidden state LTI state space models of unknown order0
ACL: Activating Capability of Linear Attention for Image Restoration0
Efficient Image Compression Using Advanced State Space Models0
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning0
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models0
Layer by Layer: Uncovering Hidden Representations in Language Models0
Learning and Querying Fast Generative Models for Reinforcement Learning0
Efficient Estimation of State-Space Mixed-Frequency VARs: A Precision-Based Approach0
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions0
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network0
EEG-SSM: Leveraging State-Space Model for Dementia Detection0
EEGMamba: Bidirectional State Space Model with Mixture of Experts for EEG Multi-task Classification0
CacheFormer: High Attention-Based Segment Caching0
EEGM2: An Efficient Mamba-2-Based Self-Supervised Framework for Long-Sequence EEG Modeling0
EDmamba: A Simple yet Effective Event Denoising Method with State Space Model0
BVI-RLV: A Fully Registered Dataset and Benchmarks for Low-Light Video Enhancement0
EDCSSM: Edge Detection with Convolutional State Space Model0
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series0
Bridging Text and Image for Artist Style Transfer via Contrastive Learning0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis0
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction0
Latent Mamba Operator for Partial Differential Equations0
Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective0
A Recursive Newton Method for Smoothing in Nonlinear State Space Models0
Adjoint sharding for very long context training of state space models0
Dynamical Systems as Temporal Feature Spaces0
A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing0
Latent Matters: Learning Deep State-Space Models0
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory0
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models0
A Quantitative Review on Language Model Efficiency Research0
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs0
Dyadic Mamba: Long-term Dyadic Human Motion Synthesis0
Block-State Transformers0
Block-Biased Mamba for Long-Range Sequence Processing0
Blind Identification of State-Space Models in Physical Coordinates0
Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction0
Doubly Sparse Variational Gaussian Processes0
The Past Does Matter: Correlation of Subsequent States in Trajectory Predictions of Gaussian Process Models0
Lambda-Skip Connections: the architectural component that prevents Rank Collapse0
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models0
Learning Driver Behaviors Using A Gaussian Process Augmented State-Space Model0
Learning Stable and Robust Linear Parameter-Varying State-Space Models0
Domain-decoupled Physics-informed Neural Networks with Closed-form Gradients for Fast Model Learning of Dynamical Systems0
Does Representation Matter? Exploring Intermediate Layers in Large Language Models0
Do Betting Markets Sense a Goal Coming? Evidence from the German Bundesliga0
Approximate inference in latent Gaussian-Markov models from continuous time observations0
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