Petar Tsankov
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it; #35,160 of 35,345 by trust here, #10,065 by citations
- Information Systems — 34 citations into it; #5,098 of 8,771 by trust here, #3,198 by citations
- Signal Processing — 24 citations into it; #5,350 of 7,572 by trust here, #2,743 by citations
- Safety, Robustness & Interpretability — 23 citations into it
- Software — 23 citations into it; #787 of 1,227 by trust here, #799 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Computer Networks and Communications — 12 citations into it
- Hardware and Architecture — 12 citations into it
Whom Petar Tsankov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- D. Wood
- Anthony Dewayne Hunt
- Miltiadis Allamanis
- Alex Krizhevsky
- Veselin Raychev
- Gagandeep Singh
- Ilya Grishchenko
- Martin T. Vechev
- Loi Luu
- Ravi Mangal
Who trusts Petar Tsankov overall
- Josselin Feist
- Christof Ferreira Torres
- Miltiadis Allamanis
- Massimo Bartoletti
- Zhenguang Liu
- Marc Brockschmidt
- Gustavo Grieco
- Julian Schütte
Papers from Petar Tsankov's perspective
Ordered by how strongly the researchers Petar Tsankov trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Intriguing properties of neural networks
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- AI2: Safety and Robustness Certification of Neural Networks with Abstract Interpretation (2018) — 1,008 citations
- Learning to Fuzz from Symbolic Execution with Application to Smart Contracts (2019) — 295 citations
- Securify: Practical Security Analysis of Smart Contracts (2018) — 1,151 citations
- Statistical Deobfuscation of Android Applications (2016) — 133 citations