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State Space Models

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Showing 676–700 of 923 papers

TitleStatusHype
Comba: Improving Bilinear RNNs with Closed-loop Control—0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation—0
RotRNN: Modelling Long Sequences with Rotations—0
CMamba: Learned Image Compression with State Space Models—0
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach—0
Zebra-Llama: Towards Extremely Efficient Hybrid Models—0
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces—0
Closed-form Inference and Prediction in Gaussian Process State-Space Models—0
S7: Selective and Simplified State Space Layers for Sequence Modeling—0
SaFARi: State-Space Models for Frame-Agnostic Representation—0
Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking—0
Samba-ASR: State-Of-The-Art Speech Recognition Leveraging Structured State-Space Models—0
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models—0
Chimera: A Block-Based Neural Architecture Search Framework for Event-Based Object Detection—0
Sampling-Free Probabilistic Deep State-Space Models—0
Variational State and Parameter Estimation—0
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF—0
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models—0
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers—0
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models—0
CacheFormer: High Attention-Based Segment Caching—0
Scalable Visual State Space Model with Fractal Scanning—0
BVI-RLV: A Fully Registered Dataset and Benchmarks for Low-Light Video Enhancement—0
Secure Data Reconstruction: A Direct Data-Driven Approach—0
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series—0
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