Patrice Godefroid
Software · 2005–2019
A researcher in the Science corpus: 9 papers; trusts 58 researchers and is trusted by 88 researchers here, as inferred from the citation graph.
Subfields
- Software — 44 citations into it; #13 of 1,227 by trust here, #37 by citations
- Computational Theory and Mathematics — 29 citations into it; #1,043 of 12,182 by trust here, #5,954 by citations
- Artificial Intelligence — 24 citations into it
- Information Systems — 22 citations into it
- Natural Language Processing — 9 citations into it
- Signal Processing — 6 citations into it; #341 of 7,572 by trust here, #586 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Patrice Godefroid trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Koushik Sen
- Willem Visser
- Alex Graves
- Nils Klarlund
- Seth Hallem
- Cristian Cadar
- Chandrasekhar Boyapati
- Ilya Sutskever
- Manuvir Das
- Sepp Hochreiter
Who trusts Patrice Godefroid overall
- Koushik Sen
- Cristian Cadar
- Nikolai Tillmann
- Cornelius Aschermann
- Adam Kiezun
- Jibesh Patra
- Michael Pradel
- Gordon Fraser
- Andrea Arcuri
- Caroline Lemieux
Papers from Patrice Godefroid's perspective
Ordered by how strongly the researchers Patrice Godefroid trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Compositional dynamic test generation (2007) — 525 citations
- Dynamic partial-order reduction for model checking software (2005) — 755 citations
- RESTler: Stateful REST API Fuzzing (2019) — 298 citations
- Learn&Fuzz: Machine learning for input fuzzing (2017) — 416 citations
- SAGE: Whitebox Fuzzing for Security Testing (2012) — 771 citations
- Symbolic execution for software testing in practice: preliminary assessment (2011) — 377 citations
- Automated Whitebox Fuzz Testing (2008) — 1,349 citations
- Grammar-based whitebox fuzzing (2008) — 625 citations
- DART: directed automated random testing (2005) — 2,910 citations