most citedMathematical Reasoning in Latent Space

13 citations · 33 across the 4 of their papers we have counts for

collaborators

7 papers

cs.LG202013 cited

Mathematical Reasoning via Self-supervised Skip-tree Training

Markus N. Rabe, Dennis Lee, Kshitij Bansal +1

We examine whether self-supervised language modeling applied to mathematical formulas enables logical reasoning. We suggest several logical reasoning tasks that can be used to eval…

cs.LG201913 cited

Mathematical Reasoning in Latent Space

Dennis Lee, Christian Szegedy, Markus N. Rabe +2

We design and conduct a simple experiment to study whether neural networks can perform several steps of approximate reasoning in a fixed dimensional latent space. The set of rewrit…

cs.LO2019

Understanding and Extending Incremental Determinization for 2QBF

Markus N. Rabe, Leander Tentrup, Cameron Rasmussen +1

Incremental determinization is a recently proposed algorithm for solving quantified Boolean formulas with one quantifier alternation. In this paper, we formalize incremental determ…

cs.LG2019

Learning to Reason in Large Theories without Imitation

Kshitij Bansal, Christian Szegedy, Markus N. Rabe +2

In this paper, we demonstrate how to do automated theorem proving in the presence of a large knowledge base of potential premises without learning from human proofs. We suggest an…

cs.LG2019

Graph Representations for Higher-Order Logic and Theorem Proving

Aditya Paliwal, Sarah Loos, Markus Rabe +2

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.…

cs.LO2019

HOList: An Environment for Machine Learning of Higher-Order Theorem Proving

Kshitij Bansal, Sarah M. Loos, Markus N. Rabe +2

We present an environment, benchmark, and deep learning driven automated theorem prover for higher-order logic. Higher-order interactive theorem provers enable the formalization of…