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State Space Models

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Showing 676–700 of 923 papers

TitleStatusHype
Spectral State Space Model for Rotation-Invariant~Visual~Representation~Learning—0
Spectral State Space Model for Rotation-Invariant Visual Representation Learning—0
Speech-Mamba: Long-Context Speech Recognition with Selective State Spaces Models—0
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding—0
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning—0
Spiking Structured State Space Model for Monaural Speech Enhancement—0
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation—0
Stabilizing RNN Gradients through Pre-training—0
Standard State Space Models of Unawareness (Extended Abstract)—0
Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series—0
State and parameter learning with PaRIS particle Gibbs—0
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend—0
State-Space Large Audio Language Models—0
State Space LSTM Models with Particle MCMC Inference—0
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era—0
State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons—0
State Space Models are Comparable to Transformers in Estimating Functions with Dynamic Smoothness—0
State Space Models are Strong Text Rerankers—0
State-space models can learn in-context by gradient descent—0
State-space models' dirty little secrets: even simple linear Gaussian models can have estimation problems—0
State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?—0
State space models for building control: how deep should you go?—0
State Space Models for Extractive Summarization in Low Resource Scenarios—0
State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition—0
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting—0
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