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Found 9 papers, 4 papers with code
Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases
Shapley values, originating in game theory and increasingly prominent in explainable AI, have been proposed to assess the contribution of facts in query answering over databases, along with other similar power indices such as Banzhaf values.
Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman
Can a machine or algorithm discover or learn the elliptical orbit of Mars from astronomical sightings alone?
A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning
We present and comparatively and empirically evaluate the eight methods to compute the mixed partial derivative of a surrogate function.
Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman
Can a machine or algorithm discover or learn Kepler's first law from astronomical sightings alone?
What's Next? Predicting Hamiltonian Dynamics from Discrete Observations of a Vector Field
We present several methods for predicting the dynamics of Hamiltonian systems from discrete observations of their vector field.
Separable Hamiltonian Neural Networks
Hamiltonian neural networks (HNNs) are state-of-the-art models that regress the vector field of a dynamical system under the learning bias of Hamilton's equations.
Syntax-informed Question Answering with Heterogeneous Graph Transformer
Large neural language models are steadily contributing state-of-the-art performance to question answering and other natural language and information processing tasks.
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks
We present an outlook attention mechanism, COOL, for natural language processing.
BelMan: Bayesian Bandits on the Belief--Reward Manifold
BelMan alternates \emph{information projection} and \emph{reverse information projection}, i. e., projection of the pseudobelief-reward onto beliefs-rewards to choose the arm to play, and projection of the resulting beliefs-rewards onto the pseudobelief-reward.
