SOTAVerified

State Space Models

Papers

Showing 126150 of 923 papers

TitleStatusHype
State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space ModelsCode1
LTL Verification of Memoryful Neural AgentsCode0
Mamba base PKD for efficient knowledge compression0
S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart BuildingsCode0
Accelerating Model-Based Reinforcement Learning with State-Space World Models0
EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-trainingCode1
Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale0
EEGM2: An Efficient Mamba-2-Based Self-Supervised Framework for Long-Sequence EEG Modeling0
A Normal Variance Mixture Model for Robust Kalman Filtering0
PICASO: Permutation-Invariant Context Composition with State Space Models0
A Reverse Mamba Attention Network for Pathological Liver SegmentationCode1
Linear Attention for Efficient Bidirectional Sequence ModelingCode1
LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models0
CardiacMamba: A Multimodal RGB-RF Fusion Framework with State Space Models for Remote Physiological MeasurementCode0
Emergence of the Primacy Effect in Structured State-Space ModelsCode0
Multimodal Mamba: Decoder-only Multimodal State Space Model via Quadratic to Linear DistillationCode2
DAMamba: Vision State Space Model with Dynamic Adaptive ScanCode2
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws0
DA-Mamba: Domain Adaptive Hybrid Mamba-Transformer Based One-Stage Object DetectionCode1
HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model0
LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book DataCode1
From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics0
SS4Rec: Continuous-Time Sequential Recommendation with State Space ModelsCode0
A Survey on Mamba Architecture for Vision Applications0
Physics-Informed Recurrent Network for State-Space Modeling of Gas Pipeline Networks0
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