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Gated Graph Sequence Neural Networks
- Yujia Li, Daniel Tarlow, Marc Brockschmidt, R. Zemel
- Computer ScienceICLR
- 17 November 2015
TLDR
Learning to Represent Programs with Graphs
- Miltiadis Allamanis, Marc Brockschmidt, M. Khademi
- Computer ScienceICLR
- 1 November 2017
TLDR
DeepCoder: Learning to Write Programs
- Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, S. Nowozin, Daniel Tarlow
- Computer ScienceICLR
- 4 November 2016
TLDR
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
- H. Husain, Hongqi Wu, Tiferet Gazit, Miltiadis Allamanis, Marc Brockschmidt
- Computer ScienceArXiv
- 20 September 2019
TLDR
Constrained Graph Variational Autoencoders for Molecule Design
- Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
- Computer ScienceNeurIPS
- 23 May 2018
TLDR
Structured Neural Summarization
- Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
- Computer ScienceICLR
- 27 September 2018
TLDR
Alternating Runtime and Size Complexity Analysis of Integer Programs
- Marc Brockschmidt, Fabian Emmes, S. Falke, Carsten Fuhs, J. Giesl
- Computer ScienceTACAS
- 5 April 2014
TLDR
Analyzing Program Termination and Complexity Automatically with AProVE
- J. Giesl, Cornelius Aschermann, René Thiemann
- Computer ScienceJournal of Automated Reasoning
- 2016
TLDR
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
- Marc Brockschmidt
- Computer ScienceICML
- 28 June 2019
TLDR
Learning to Represent Edits
- Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt
- Computer ScienceICLR
- 27 September 2018
We introduce the problem of learning distributed representations of edits. By combining a "neural editor" with an "edit encoder", our models learn to represent the salient information of an edit and…
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