conftrace_

state space model

390 papers

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Also known as

SSM SSMS

Co-occurring keywords

semantic segmentation (3186) sequence modeling (288) state-space model (153) attention mechanism (4001) variational inference (2069) image restoration (1517) image classification (1944) mamba architecture (35) 3d vision (1098) gaussian process (1200)

Papers

Structured State Space Models for In-Context Reinforcement Learning NIPS 2023
Convolutional State Space Models for Long-Range Spatiotemporal Modeling NIPS 2023
Accelerating Toeplitz Neural Network with Constant-time Inference Complexity EMNLP 2023
Sparse Modular Activation for Efficient Sequence Modeling NIPS 2023
Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022
Variational Marginal Particle Filters AISTATS 2022
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving CORL 2022
On the Parameterization and Initialization of Diagonal State Space Models NIPS 2022
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces NIPS 2022
Exploiting locality in high-dimensional Factorial hidden Markov models JMLR 2022
Memory Augmented State Space Model for Time Series Forecasting IJCAI 2022
SIXO: Smoothing Inference with Twisted Objectives NIPS 2022
Diagonal State Spaces are as Effective as Structured State Spaces NIPS 2022
Automating Discovery of Physics-Informed Neural State Space Models via Learning and Evolution L4DC 2021
Probabilistic Sequential Matrix Factorization AISTATS 2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NIPS 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models NIPS 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021
Combining pseudo-point and state space approximations for sum-separable Gaussian Processes UAI 2021
The neural moving average model for scalable variational inference of state space models UAI 2021
Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020
Dynamic content based ranking AISTATS 2020