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An Experimental Study of Formula Embeddings for Automated Theorem
  Proving in First-Order Logic

An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic

2 February 2020
Ibrahim Abdelaziz
Veronika Thost
Mayank Agarwal
Achille Fokoue
ArXivPDFHTML

Papers citing "An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic"

4 / 4 papers shown
Title
On the Paradox of Learning to Reason from Data
On the Paradox of Learning to Reason from Data
Honghua Zhang
Liunian Harold Li
Tao Meng
Kai-Wei Chang
Guy Van den Broeck
NAI
ReLM
OOD
LRM
140
105
0
23 May 2022
PRover: Proof Generation for Interpretable Reasoning over Rules
PRover: Proof Generation for Interpretable Reasoning over Rules
Swarnadeep Saha
Sayan Ghosh
Shashank Srivastava
Joey Tianyi Zhou
ReLM
LRM
39
77
0
06 Oct 2020
Improving Graph Neural Network Representations of Logical Formulae with
  Subgraph Pooling
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling
Mayank Agarwal
Ibrahim Abdelaziz
Cristina Cornelio
Veronika Thost
Lingfei Wu
Kenneth D. Forbus
Achille Fokoue
NAI
AI4CE
GNN
106
36
0
15 Nov 2019
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
223
7,930
0
17 Aug 2015
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