Search Results for author: Sarah Loos

Found 2 papers, 0 papers with code

Graph Representations for Higher-Order Logic and Theorem Proving

no code implementations24 May 2019 Aditya Paliwal, Sarah Loos, Markus Rabe, Kshitij Bansal, Christian Szegedy

This paper presents the first use of graph neural networks (GNNs) for higher-order proof search and demonstrates that GNNs can improve upon state-of-the-art results in this domain.

Automated Theorem Proving

Deep Network Guided Proof Search

no code implementations24 Jan 2017 Sarah Loos, Geoffrey Irving, Christian Szegedy, Cezary Kaliszyk

Here we suggest deep learning based guidance in the proof search of the theorem prover E. We train and compare several deep neural network models on the traces of existing ATP proofs of Mizar statements and use them to select processed clauses during proof search.

Game of Go Image Captioning +5

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