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State Space Models

Papers

Showing 451475 of 923 papers

TitleStatusHype
A Survey of Transformer Enabled Time Series Synthesis0
LongSSM: On the Length Extension of State-space Models in Language Modelling0
Audio Mamba: Selective State Spaces for Self-Supervised Audio RepresentationsCode1
State Space Models on Temporal Graphs: A First-Principles StudyCode1
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models0
Pretrained Hybrids with MAD Skills0
Mamba State-Space Models Are Lyapunov-Stable Learners0
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space DualityCode11
Recurrent neural networks: vanishing and exploding gradients are not the end of the storyCode0
Language Models Need Inductive Biases to Count InductivelyCode0
Length independent generalization bounds for deep SSM architectures0
FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining0
Deep Bayesian Filter for Bayes-faithful Data Assimilation0
State Space Models are Comparable to Transformers in Estimating Functions with Dynamic Smoothness0
Vim-F: Visual State Space Model Benefiting from Learning in the Frequency DomainCode1
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging0
Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model0
Deciphering Movement: Unified Trajectory Generation Model for Multi-AgentCode1
SMR: State Memory Replay for Long Sequence Modeling0
The Expressive Capacity of State Space Models: A Formal Language Perspective0
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory0
Image Deraining with Frequency-Enhanced State Space ModelCode1
MambaTS: Improved Selective State Space Models for Long-term Time Series ForecastingCode2
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space0
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting0
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