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Found 3 papers, 1 papers with code
Counterfactual World Modeling for Physical Dynamics Understanding
Third, the counterfactual modeling capability enables the design of counterfactual queries to extract vision structures similar to keypoints, optical flows, and segmentations, which are useful for dynamics understanding.
Measuring and Modeling Physical Intrinsic Motivation
Finally, linearly combining the adversarial model with the number of collisions in a scene leads to the greatest improvement in predictivity of human responses, suggesting humans are driven towards scenarios that result in high information gain and physical activity.
Boosting on the shoulders of giants in quantum device calibration
Here we introduce a new approach to machine learning that is able to leverage prior scientific discoveries in order to improve generalizability over a scientific model.
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