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Differentiable MAXSAT Solver for AI by alenka.triplat is a document available to read on EtoBox.
What is Differentiable MAXSAT Solver for AI about?
The paper introduces SATNet, a differentiable MAXSAT solver that integrates logical reasoning into deep learning architectures, allowing for end-to-end learning of logical structures from examples. By utilizing a smoothed semidefinite programming (SDP) approach, the authors demonstrate the ability to learn complex logical relationships, such as solving Sudoku puzzles and the parity function, without prior knowledge of the rules. This work represents a significant step towards combining deep learning with sy
- Author
- alenka.triplat
- Language
- EN