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Computer Science

D-Index
45
Citations
10392
World Ranking
7105
National Ranking
3116

Overview

Petros Maniatis is affiliated with Google in the United States and works primarily within the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Information Systems, Software, Computer Networks and Communications, and Materials Chemistry.

The scientist's work covers multiple topics such as Software Engineering Research, Spreadsheets and End-User Computing, Software Testing and Debugging Techniques, Adversarial Robustness in Machine Learning, Machine Learning and Algorithms, Machine Learning in Materials Science, and Security and Verification in Computing.

Petros Maniatis has contributed to various publications, with frequent appearances in venues like arXiv (Cornell University) and ACM SIGOPS Operating Systems Review.

  • SpreadsheetCoder: Formula Prediction from Semi-structured Context, 2021, arXiv (Cornell University)
  • Neural Program Synthesis with a Differentiable Fixer, 2020, arXiv (Cornell University)
  • A Library for Representing Python Programs as Graphs for Machine Learning, 2022, arXiv (Cornell University)
  • überSpark, 2020, ACM SIGOPS Operating Systems Review
  • CodeQueries: A Dataset of Semantic Queries over Code, 2022, arXiv (Cornell University)

They have collaborated with several frequent co-authors including Charles Sutton, Rishabh Singh, Xinyun Chen, Hanjun Dai, and Max S. Lin. Among these, Charles Sutton appears as a co-author in three publications, while Rishabh Singh has co-authored two papers with Maniatis.

Best Publications

  • CloneCloud: elastic execution between mobile device and cloud

    Byung-Gon Chun;Sunghwan Ihm;Petros Maniatis;Mayur Naik

  • Augmented smartphone applications through clone cloud execution

    Byung-Gon Chun;Petros Maniatis

  • Implementing declarative overlays

    Boon Thau Loo;Tyson Condie;Joseph M. Hellerstein;Petros Maniatis

  • Prochlo: Strong Privacy for Analytics in the Crowd

    Andrea Bittau;Úlfar Erlingsson;Petros Maniatis;Ilya Mironov

  • Declarative networking: language, execution and optimization

    Boon Thau Loo;Tyson Condie;Minos Garofalakis

  • Attested append-only memory: making adversaries stick to their word

    Byung-Gon Chun;Petros Maniatis;Scott Shenker;John Kubiatowicz

  • The LOCKSS peer-to-peer digital preservation system

    Petros Maniatis;Mema Roussopoulos;T. J. Giuli;David S. H. Rosenthal

  • The Architecture of PIER: an Internet-Scale Query Processor

    Ryan Huebsch;Brent N. Chun;Joseph M. Hellerstein;Boon Thau Loo

  • The Performance Cost of Shadow Stacks and Stack Canaries

    Thurston H.Y. Dang;Petros Maniatis;David Wagner

  • Peer-to-Peer Caching Schemes to Address Flash Crowds

    Tyron Stading;Petros Maniatis;Mary Baker

  • Declarative Networking

    Boon Thau Loo;Tyson Condie;Minos Garofalakis

  • A fresh look at the reliability of long-term digital storage

    Mary Baker;Mehul Shah;David S. H. Rosenthal;Mema Roussopoulos

  • Dynamically partitioning applications between weak devices and clouds

    Byung-Gon Chun;Petros Maniatis

  • Friday: global comprehension for distributed replay

    Dennis Geels;Gautam Altekar;Petros Maniatis;Timothy Roscoe

  • Preserving peer replicas by rate-limited sampled voting

    Petros Maniatis;David S. H. Rosenthal;Mema Roussopoulos;Mary Baker

  • The mobile people architecture

    Petros Maniatis;Mema Roussopoulos;Ed Swierk;Kevin Lai

  • Learning and Evaluating Contextual Embedding of Source Code

    Aditya Kanade;Petros Maniatis;Gogul Balakrishnan;Kensen Shi

  • Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression

    Ling Huang;Jinzhu Jia;Bin Yu;Byung-gon Chun

  • Not-a-Bot: improving service availability in the face of botnet attacks

    Ramakrishna Gummadi;Hari Balakrishnan;Petros Maniatis;Sylvia Ratnasamy

  • BFT protocols under fire

    Atul Singh;Tathagata Das;Petros Maniatis;Peter Druschel

  • Global Relational Models of Source Code

    Vincent J. Hellendoorn;Charles Sutton;Rishabh Singh;Petros Maniatis

  • Verification with small and short worlds

    Rohit Sinha;Cynthia Sturton;Petros Maniatis;Sanjit A. Seshia

Frequent Co-Authors

Mary Baker
Mary Baker Hewlett-Packard (United States)
Byung-Gon Chun
Byung-Gon Chun Seoul National University
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Timothy Roscoe
Timothy Roscoe ETH Zurich
Mayur Naik
Mayur Naik University of Pennsylvania
Minos Garofalakis
Minos Garofalakis Technical University of Crete
Boon Thau Loo
Boon Thau Loo University of Pennsylvania
Scott Shenker
Scott Shenker University of California, Berkeley
Ion Stoica
Ion Stoica University of California, Berkeley
Ling Huang
Ling Huang Intel (United States)

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