Research map / Probabilistic and scientific modeling / Dynamical systems
Dynamic Neural Relational Inference
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| predict a separate relation at every time step instead of using static relations | NRI · Synthetic physics simulations | relation prediction F1: 27.1 -> 54.3 | Helped |
| predict a separate relation at every time step instead of using static relations | NRI · CMU motion capture subject #35 | MSE | Helped |
| predict a separate relation at every time step instead of using static relations | NRI · CMU motion capture subject #118 | MSE | Helped |
| predict a separate relation at every time step instead of using static relations | NRI · Basketball player trajectories | MSE | Helped |
| model multiple types of interactions with dNRI | FCGraph · inD traffic trajectories | MSE | Helped |
Closest papers by meaning
- A Graph Dynamics Prior for Relational Inference (AAAI 2024 · similarity 0.86)
- Online Relational Inference for Evolving Multi-agent Interacting Systems (NeurIPS 2024 · similarity 0.86)
- Neural Temporal Point Processes for Forecasting Directional Relations in Evolving Hypergraphs (AAAI 2025 · similarity 0.85)
- Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks (AAAI 2025 · similarity 0.85)
- Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series (ICML 2025 · similarity 0.84)
- Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling (NeurIPS 2026 · similarity 0.83)
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