Research map / Architectures and efficiency / Attention and transformers
Convolutional State Space Models for Long-Range Spatiotemporal Modeling
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- ConvT3: Structured State Kernels for Convolutional State Space Models (ICLR 2026 · similarity 0.92)
- FACTS: A Factored State-Space Framework for World Modelling (ICLR 2025 · similarity 0.87)
- StateSpaceDiffuser: Bringing Long Context to Diffusion World Models (NeurIPS 2025 · similarity 0.87)
- From Layers to States: A State Space Model Perspective to Deep Neural Network Layer Dynamics (ICLR 2025 · similarity 0.86)
- Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model (AAAI 2024 · similarity 0.86)
- State Space Models on Temporal Graphs: A First-Principles Study (NeurIPS 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.