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State Space Models

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Showing 351–400 of 923 papers

TitleStatusHype
Fixed-Point RNNs: From Diagonal to Dense in a Few Iterations—0
MinGRU-Based Encoder for Turbo Autoencoder Frameworks—0
Spectral State Space Model for Rotation-Invariant~Visual~Representation~Learning—0
Global-Aware Monocular Semantic Scene Completion with State Space Models—0
LTL Verification of Memoryful Neural AgentsCode0
Mamba base PKD for efficient knowledge compression—0
S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart BuildingsCode0
Accelerating Model-Based Reinforcement Learning with State-Space World Models—0
EEGM2: An Efficient Mamba-2-Based Self-Supervised Framework for Long-Sequence EEG Modeling—0
Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale—0
A Normal Variance Mixture Model for Robust Kalman Filtering—0
PICASO: Permutation-Invariant Context Composition with State Space Models—0
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models—0
Emergence of the Primacy Effect in Structured State-Space ModelsCode0
CardiacMamba: A Multimodal RGB-RF Fusion Framework with State Space Models for Remote Physiological MeasurementCode0
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws—0
HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model—0
SS4Rec: Continuous-Time Sequential Recommendation with State Space ModelsCode0
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics—0
A Survey on Mamba Architecture for Vision Applications—0
Physics-Informed Recurrent Network for State-Space Modeling of Gas Pipeline Networks—0
Adversarial Transform Particle FiltersCode0
XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing UnitsCode0
The α-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and PerformanceCode0
CMamba: Learned Image Compression with State Space Models—0
Decision Trees That Remember: Gradient-Based Learning of Recurrent Decision Trees with Memory—0
Layer by Layer: Uncovering Hidden Representations in Language Models—0
Sequence models for continuous cell cycle stage prediction from brightfield images—0
Multilingual State Space Models for Structured Question Answering in Indic LanguagesCode0
Secure Data Reconstruction: A Direct Data-Driven Approach—0
SatMamba: Development of Foundation Models for Remote Sensing Imagery Using State Space ModelsCode0
Mamba-Shedder: Post-Transformer Compression for Efficient Selective Structured State Space Models—0
Application of Structured State Space Models to High energy physics with locality-sensitive hashing—0
MambaTron: Efficient Cross-Modal Point Cloud Enhancement using Aggregate Selective State Space Modeling—0
On the locality bias and results in the Long Range Arena—0
State Space Models for Extractive Summarization in Low Resource Scenarios—0
QMamba: Post-Training Quantization for Vision State Space Models—0
Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level Vision—0
GRAMA: Adaptive Graph Autoregressive Moving Average Models—0
Test-time regression: a unifying framework for designing sequence models with associative memory—0
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions—0
Parallel Sequence Modeling via Generalized Spatial Propagation Network—0
WSSM: Geographic-enhanced hierarchical state-space model for global station weather forecast—0
SeRpEnt: Selective Resampling for Expressive State Space Models—0
On the dimension of pullback attractors in recurrent neural networks—0
Finite Sample Analysis of Subspace Identification Methods—0
Gaussian Integral based Bayesian Smoother—0
Element-wise Attention Is All You Need—0
Meta-Learning for Physically-Constrained Neural System Identification—0
H-MBA: Hierarchical MamBa Adaptation for Multi-Modal Video Understanding in Autonomous Driving—0
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