Petros Maniatis
Artificial Intelligence · 2002–2021
A researcher in the Science corpus: 18 papers; trusts 161 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 233 citations into it; #19,510 of 35,345 by trust here, #9,170 by citations
- Information Systems — 147 citations into it; #5,240 of 8,771 by trust here, #885 by citations
- Natural Language Processing — 110 citations into it; #3,353 of 5,688 by trust here, #3,235 by citations
- Software — 64 citations into it
- Computer Networks and Communications — 63 citations into it; #5,351 of 9,886 by trust here, #1,046 by citations
- Signal Processing — 54 citations into it; #6,517 of 7,572 by trust here, #1,504 by citations
- Privacy & Security — 48 citations into it; #360 of 709 by trust here, #236 by citations
- Code Generation & Program Synthesis — 40 citations into it
Whom Petros Maniatis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- Diederik P. Kingma
- Geoffrey E. Hinton
- Sepp Hochreiter
- Yoshua Bengio
- Tomas Mikolov
- Ilya Sutskever
- Alec Radford
- Alex Krizhevsky
- J. Urgen Schmidhuber
Who trusts Petros Maniatis overall
- Byung-Gon Chun
- Badih Ghazi
- Ú. Erlingsson
- Daya Guo
- Albert Cheu
- Aditya Kanade
- Baptiste Rozière
- Tianhao Wang
- Vincent J. Hellendoorn
- Sergio Barbarossa
Papers from Petros Maniatis's perspective
Ordered by how strongly the researchers Petros Maniatis trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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
- 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Neural Program Repair by Jointly Learning to Localize and Repair (2019) — 138 citations
- Prochlo: Strong Privacy for Analytics in the Crowd (2017) — 293 citations
- Glimmers: Resolving the Privacy/Trust Quagmire (2017) — 17 citations
- CloneCloud: elastic execution between mobile device and cloud (2011) — 2,071 citations
- PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair (2021) — 29 citations
- SpreadsheetCoder: Formula Prediction from Semi-structured Context (2021) — 65 citations
- Global Relational Models of Source Code (2020) — 257 citations
- Pre-trained Contextual Embedding of Source Code (2019) — 83 citations
- Learning and Evaluating Contextual Embedding of Source Code (2019) — 452 citations
- Oblivious Stash Shuffle (2017)
- PROCHLO: Strong Privacy for Analytics in the Crowd (2017)
- überSpark: Enforcing Verifiable Object Abstractions for Automated Compositional Security Analysis of a Hypervisor (2016) — 40 citations
- Augmented Smartphone Applications Through Clone Cloud Execution (2009) — 521 citations
- Not-a-Bot: Improving Service Availability in the Face of Botnet Attacks (2009) — 121 citations
- Attested append-only memory: making adversaries stick to their word (2007) — 351 citations
- Declarative networking: language, execution and optimization (2006) — 316 citations
- Implementing declarative overlays (2005) — 381 citations
- Secure History Preservation Through Timeline Entanglement (2002) — 126 citations