kausable/CausalDynamics
CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models NeurIPS 2025 A comprehensive benchmark framework designed to rigorously evaluate state-of-the-art causal discovery algorithms for dynamical systems. Key Features 1️⃣ Large-Scale Benchmark. Systematically evaluate state-of-the-art causal discovery algorithms on thousands of graph challenges with increasing difficulty. 2️⃣ Customizable Data Generation.… See the full description on the dataset page: https://huggingface.co/datasets/kausable/CausalDynamics.
| Author / organization | kausable |
|---|---|
| License (as declared) | mit |
| Downloads | 275 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 2 May 2025 |
| Last updated at source | 6 October 2025 |
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Recent changes
- 16 Oct 2026 Description: CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models NeurIPS 2025 A comprehensive benchmark framework designed to rigorously evaluate state-of-the-art causal discovery algorithms for dynamical systems. → CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models NeurIPS 2025 A comprehensive benchmark framework designed to rigorously evaluate state-of-the-art causal discovery algorithms for dynamical systems.
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