state space model

Multi Time Scale World Models NeurIPS 2023 Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series ICML 2023 ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023 Pretraining Without Attention EMNLP 2023 Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023 Resurrecting Recurrent Neural Networks for Long Sequences ICML 2023 Selective Structured State-Spaces for Long-Form Video Understanding CVPR 2023 Simple Hardware-Efficient Long Convolutions for Sequence Modeling ICML 2023 Simplified State Space Layers for Sequence Modeling ICLR 2023 Sparse Modular Activation for Efficient Sequence Modeling NeurIPS 2023 State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory NeurIPS 2023 Streaming Factor Trajectory Learning for Temporal Tensor Decomposition NeurIPS 2023 Structured State Space Models for In-Context Reinforcement Learning NeurIPS 2023 The Ordered Matrix Dirichlet for State-Space Models AISTATS 2023 Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting ICCV 2023 What Makes Convolutional Models Great on Long Sequence Modeling? ICLR 2023 De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022 Diagonal State Spaces are as Effective as Structured State Spaces NeurIPS 2022 Efficiently Modeling Long Sequences with Structured State Spaces ICLR 2022 Exploiting locality in high-dimensional Factorial hidden Markov models JMLR 2022 Importance Weighted Kernel Bayes’ Rule ICML 2022 Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies ICLR 2022 It’s Raw! Audio Generation with State-Space Models ICML 2022 Laplace approximated Gaussian process state-space models UAI 2022 Memory Augmented State Space Model for Time Series Forecasting IJCAI 2022