tangent vector
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems Kurt Butler
The TSCI approach is model-agnostic and can be used as a drop-in replacement for CCM and its generalizations.
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The Geometry of Neural Nets ' Parameter Spaces Under Reparametrization
But it can also be problematic since it can induce inconsistencies in, e.g., Hessian-based flatness measures,
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.46)
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems Kurt Butler
The TSCI approach is model-agnostic and can be used as a drop-in replacement for CCM and its generalizations.
Country:
- North America > United States > New York > Suffolk County > Stony Brook (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
Technology:
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- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.14)
- North America > Canada > Ontario > Toronto (0.14)
- North America > United States > Michigan (0.04)
Technology:
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.93)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.46)
Appendices Broader Impact
Algorithm 1 describes the training process of the proposed method.
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Ultrahyperbolic Neural Networks
We experimentally show the relevance of our approach in the tasks of graph and node classification.
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