C-Star: Predicting unresolved variables in dynamical systems
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Projects
GEPC: Making AI Decisions Understandable Through Part-Based Explanations
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How can we trust AI systems when we can’t understand their decisions? This research presents a breakthrough method that transforms opaque neural network predictions into human-readable explanations—without requiring massive annotation efforts.
