118 citations · 344 across the 22 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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.…
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…
A Model Counter's Guide to Probabilistic Systems
Marcell Vazquez-Chanlatte, Markus N. Rabe, Sanjit A. Seshia
In this paper, we systematize the modeling of probabilistic systems for the purpose of analyzing them with model counting techniques. Starting from unbiased coin flips, we show how…