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State Space Models

Papers

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Showing 601–650 of 923 papers

TitleStatusHype
Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory—0
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space—0
Time-SSM: Simplifying and Unifying State Space Models for Time Series Forecasting—0
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural NetworksCode0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models—0
Scalable Visual State Space Model with Fractal Scanning—0
HOPE for a Robust Parameterization of Long-memory State Space ModelsCode0
Audio Mamba: Pretrained Audio State Space Model For Audio Tagging—0
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model—0
Physics-Guided State-Space Model Augmentation Using Weighted Regularized Neural Networks—0
Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia predictionCode0
Regime Learning for Differentiable Particle FiltersCode0
Weighted Least-Squares PARSIM—0
Comparative Study of State-based Neural Networks for Virtual Analog Audio Effects Modeling—0
From Generalization Analysis to Optimization Designs for State Space Models—0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients—0
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion—0
Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic Perspective—0
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory—0
State-space Decomposition Model for Video Prediction Considering Long-term Motion Trend—0
CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration—0
Variational quantization for state space modelsCode0
HumMUSS: Human Motion Understanding using State Space Models—0
HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising—0
A data-driven approach to UIO-based fault diagnosis—0
InsectMamba: Insect Pest Classification with State Space Model—0
On the reduction of Linear Parameter-Varying State-Space models—0
SpikeMba: Multi-Modal Spiking Saliency Mamba for Temporal Video Grounding—0
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection—0
Incorporating Exponential Smoothing into MLP: A Simple but Effective Sequence ModelCode0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models—0
Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models—0
Model order reduction of deep structured state-space models: A system-theoretic approach—0
VL-Mamba: Exploring State Space Models for Multimodal Learning—0
Understanding Robustness of Visual State Space Models for Image ClassificationCode0
Regularization-Based Efficient Continual Learning in Deep State-Space Models—0
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models—0
On the computation of stable coupled state-space models for dynamic substructuring applications—0
Differentiable Particle Filtering using Optimal Placement Resampling—0
Graph Mamba: Towards Learning on Graphs with State Space ModelsCode0
On Provable Length and Compositional GeneralizationCode0
Importance sampling for online variational learning—0
Contingency Detection in Modern Power Systems: A Stochastic Hybrid System Method—0
Online Variational Sequential Monte CarloCode0
Variational excess risk bound for general state space models—0
Learning Long Sequences in Spiking Neural Networks—0
Structured state-space models are deep Wiener modelsCode0
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