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State Space Models

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Showing 551–600 of 923 papers

TitleStatusHype
Temporal Test-Time Adaptation with State-Space Models—0
Reachset-Conformant System Identification—0
SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation—0
Data-Driven Controlled Invariant Sets for Gaussian Process State Space Models—0
HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context—0
Parallelizing Autoregressive Generation with Variational State Space Models—0
Towards a theory of learning dynamics in deep state space models—0
RotRNN: Modelling Long Sequences with Rotations—0
Uncertainty-preserving deep knowledge tracing with state-space models—0
Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution—0
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory—0
Neural population dynamics in songbird RA and HVC during learned motor-vocal behavior—0
On the Power of Convolution Augmented Transformer—0
Mamba Hawkes Process—0
How Effective are State Space Models for Machine Translation?Code0
BVI-RLV: A Fully Registered Dataset and Benchmarks for Low-Light Video Enhancement—0
Time Series Clustering with General State Space Models via Stochastic Variational InferenceCode0
Machine Learning Models for Dengue Forecasting in Singapore—0
Learning Time-Varying Multi-Region Communications via Scalable Markovian Gaussian Processes—0
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model—0
Venturing into Uncharted Waters: The Navigation Compass from Transformer to Mamba—0
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty—0
LFMamba: Light Field Image Super-Resolution with State Space Model—0
Delay Embedding Theory of Neural Sequence Models—0
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering—0
Q-S5: Towards Quantized State Space ModelsCode0
State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era—0
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences—0
An Empirical Study of Mamba-based Language Models—0
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics PriorCode0
Parallelizing Linear Transformers with the Delta Rule over Sequence Length—0
Vision Mamba: Cutting-Edge Classification of Alzheimer's Disease with 3D MRI Scans—0
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models—0
P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks—0
LongSSM: On the Length Extension of State-space Models in Language Modelling—0
EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationCode0
A Survey of Transformer Enabled Time Series Synthesis—0
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models—0
Pretrained Hybrids with MAD Skills—0
Mamba State-Space Models Are Lyapunov-Stable Learners—0
Recurrent neural networks: vanishing and exploding gradients are not the end of the storyCode0
Length independent generalization bounds for deep SSM architectures—0
Language Models Need Inductive Biases to Count InductivelyCode0
Deep Bayesian Filter for Bayes-faithful Data Assimilation—0
State Space Models are Comparable to Transformers in Estimating Functions with Dynamic Smoothness—0
FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining—0
Coupled Mamba: Enhanced Multi-modal Fusion with Coupled State Space Model—0
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging—0
SMR: State Memory Replay for Long Sequence Modeling—0
The Expressive Capacity of State Space Models: A Formal Language Perspective—0
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