Követés
Marc Brockschmidt
Marc Brockschmidt
Research Scientist, Google DeepMind
E-mail megerősítve itt: google.com
Cím
Hivatkozott rá
Hivatkozott rá
Év
Gated Graph Sequence Neural Networks
Y Li, D Tarlow, M Brockschmidt, R Zemel
International Conference on Learning Representations (ICLR), 2016
35272016
Learning to Represent Programs with Graphs
M Allamanis, M Brockschmidt, M Khademi
International Conference on Learning Representations (ICLR), 2018
8522018
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
H Husain, HH Wu, T Gazit, M Allamanis, M Brockschmidt
arXiv preprint arXiv:1909.09436, 2019
6602019
DeepCoder: Learning to Write Programs
M Balog, AL Gaunt, M Brockschmidt, S Nowozin, D Tarlow
International Conference on Learning Representations (ICLR), 2017
6382017
Constrained Graph Variational Autoencoders for Molecule Design
Q Liu, M Allamanis, M Brockschmidt, AL Gaunt
Conference on Neural Information Processing Systems (NeurIPS), 2018
4502018
Structured Neural Summarization
P Fernandes, M Allamanis, M Brockschmidt
International Conference on Learning Representations (ICLR), 2019
2262019
Generative Code Modeling with Graphs
M Brockschmidt, M Allamanis, AL Gaunt, O Polozov
International Conference on Learning Representations (ICLR), 2019
1692019
Analyzing program termination and complexity automatically with AProVE
J Giesl, C Aschermann, M Brockschmidt, F Emmes, F Frohn, C Fuhs, ...
Journal of Automated Reasoning 58 (1), 3-31, 2017
1592017
Proving termination of programs automatically with AProVE
J Giesl, M Brockschmidt, F Emmes, F Frohn, C Fuhs, C Otto, M Plücker, ...
International Joint Conference on Automated Reasoning (IJCAR), 184 - 191, 2014
1242014
TerpreT: A Probabilistic Programming Language for Program Induction
AL Gaunt, M Brockschmidt, R Singh, N Kushman, P Kohli, J Taylor, ...
arXiv preprint arXiv:1608.04428, 2016
1232016
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
M Brockschmidt
International Conference on Machine Learning (ICML), 2020
1062020
Learning to Represent Edits
P Yin, G Neubig, M Allamanis, M Brockschmidt, AL Gaunt
International Conference on Learning Representations (ICLR), 2019
1062019
Automated termination analysis of Java Bytecode by term rewriting
C Otto, M Brockschmidt, C Von Essen, J Giesl
Rewriting Techniques and Applications (RTA), 259-276, 2010
1032010
Better termination proving through cooperation
M Brockschmidt, B Cook, C Fuhs
International Conference on Computer Aided Verification (CAV), 413-429, 2013
992013
Robust text-to-sql generation with execution-guided decoding
C Wang, K Tatwawadi, M Brockschmidt, PS Huang, Y Mao, O Polozov, ...
arXiv preprint arXiv:1807.03100, 2018
932018
Alternating runtime and size complexity analysis of integer programs
M Brockschmidt, F Emmes, S Falke, C Fuhs, J Giesl
Tools and Algorithms for the Construction and Analysis of Systems (TACAS …, 2014
912014
Analyzing Information Leakage of Updates to Natural Language Models
S Zanella-Béguelin, L Wutschitz, S Tople, V Rühle, A Paverd, ...
Computer and Communications Security (CCS), 2020
902020
Analyzing runtime and size complexity of integer programs
M Brockschmidt, F Emmes, S Falke, C Fuhs, J Giesl
ACM Transactions on Programming Languages and Systems (TOPLAS) 38 (4), 1-50, 2016
832016
Self-Supervised Bug Detection and Repair
M Allamanis, H Jackson-Flux, M Brockschmidt
Neural Information Processing Systems (NeurIPS), 2021
812021
Graph Partition Neural Networks for Semi-Supervised Classification
R Liao, M Brockschmidt, D Tarlow, A Gaunt, R Urtasun, R Zemel
International Conference on Learning Representations [Workshop Track] (ICLR), 2018
792018
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