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State Space Models

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Showing 76–100 of 923 papers

TitleStatusHype
Observability conditions for neural state-space models with eigenvalues and their roots of unity—0
Gaussian behaviors: representations and data-driven control—0
VM-BHINet:Vision Mamba Bimanual Hand Interaction Network for 3D Interacting Hand Mesh Recovery From a Single RGB Image—0
Empirical Evaluation of Knowledge Distillation from Transformers to Subquadratic Language Models—0
CacheFormer: High Attention-Based Segment Caching—0
Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective—0
Change State Space Models for Remote Sensing Change DetectionCode1
Sensitivity Analysis of State Space Models for Scrap Composition Estimation in EAF and BOF—0
Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning—0
Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution—0
Statistical Linear Regression Approach to Kalman Filtering and Smoothing under Cyber-Attacks—0
Learning Fine-grained Domain Generalization via Hyperbolic State Space HallucinationCode0
Event Signal Filtering via Probability Flux Estimation—0
Leveraging State Space Models in Long Range Genomics—0
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical SystemsCode0
State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons—0
Learning Phase Distortion with Selective State Space Models for Video Turbulence MitigationCode1
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization—0
Free Parametrization of L2-bounded State Space ModelsCode0
Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space ModelsCode2
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual RecognitionCode0
VADMamba: Exploring State Space Models for Fast Video Anomaly DetectionCode1
Adaptive State-Space Mamba for Real-Time Sensor Data Anomaly Detection—0
Exploiting Temporal State Space Sharing for Video Semantic SegmentationCode1
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