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Found 5 papers, 3 papers with code
Distance preservation in state-space methods for detecting causal interactions in dynamical systems
We analyze the popular ``state-space'' class of algorithms for detecting casual interaction in coupled dynamical systems.
PrefGen: Preference Guided Image Generation with Relative Attributes
Using information from a sequence of query responses, we can estimate user preferences over a set of image attributes and perform preference-guided image editing and generation.
Five policy uses of algorithmic transparency and explainability
The notion that algorithmic systems should be "transparent" and "explainable" is common in the many statements of consensus principles developed by governments, companies, and advocacy organizations.
Oracle Guided Image Synthesis with Relative Queries
Isolating and controlling specific features in the outputs of generative models in a user-friendly way is a difficult and open-ended problem.
Generative causal explanations of black-box classifiers
Our objective function encourages both the generative model to faithfully represent the data distribution and the latent factors to have a large causal influence on the classifier output.
