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Armando Solar-Lezama

Armando Solar-Lezama

D-Index & Metrics

Computer Science

D-Index
45
Citations
9587
World Ranking
7135
National Ranking
3126

Overview

Armando Solar-Lezama is affiliated with the Massachusetts Institute of Technology (MIT) in the United States. Their research primarily spans the field of Computer Science, with significant contributions in Artificial Intelligence, Information Systems, and Software. Further specializations include Hardware and Architecture as well as Computational Mechanics.

The scientist's work concentrates on several key topics, including Software Engineering Research, Logic, Programming, and Type Systems. They have also contributed to areas such as Reinforcement Learning in Robotics, Software Testing and Debugging Techniques, Topic Modeling, Manufacturing Process and Optimization, and 3D Shape Modeling and Analysis.

Their recent publications include:

  • "Fusion 360 gallery" (2021, ACM Transactions on Graphics)
  • "DreamCoder: growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning" (2023, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences)
  • "JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • "Neurosymbolic Programming" (2021, Foundations and Trends® in Programming Languages)
  • "DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning" (2020, arXiv (Cornell University))

Frequent collaborators in their research include Joshua B. Tenenbaum, Yewen Pu, Kevin Ellis, Wojciech Matusik, and Osbert Bastani.

Their publications often appear in venues such as arXiv (Cornell University), Proceedings of the ACM on Programming Languages, Artifact Digital Object Group, ACM Transactions on Graphics, and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.

Best Publications

  • Combinatorial sketching for finite programs

    Armando Solar-Lezama;Liviu Tancau;Rastislav Bodik;Sanjit Seshia

  • Syntax-guided synthesis

    Rajeev Alur;Rastislav Bodik;Garvit Juniwal;Milo M. K. Martin

  • Syntax-Guided Synthesis.

    Rajeev Alur;Rastislav Bodík;Eric Dallal;Dana Fisman

  • Automated feedback generation for introductory programming assignments

    Rishabh Singh;Sumit Gulwani;Armando Solar-Lezama

  • Program synthesis by sketching

    Rastislav Bodik;Armando Solar-Lezama

  • Programming by sketching for bit-streaming programs

    Armando Solar-Lezama;Rodric Rabbah;Rastislav Bodík;Kemal Ebcioğlu

  • Syntax-guided synthesis

    Rajeev Alur;Rastislav Bodik;Garvit Juniwal;Milo M. K. Martin

  • Program sketching

    Armando Solar-Lezama

  • Program synthesis from polymorphic refinement types

    Nadia Polikarpova;Ivan Kuraj;Armando Solar-Lezama

  • Sketching concurrent data structures

    Armando Solar-Lezama;Christopher Grant Jones;Rastislav Bodik

  • Verifiable Reinforcement Learning via Policy Extraction

    Osbert Bastani;Yewen Pu;Armando Solar-Lezama

  • QuixBugs: a multi-lingual program repair benchmark set based on the quixey challenge

    Derrick Lin;James Koppel;Angela Chen;Armando Solar-Lezama

  • Towards optimization-safe systems: analyzing the impact of undefined behavior

    Xi Wang;Nickolai Zeldovich;M. Frans Kaashoek;Armando Solar-Lezama

  • Sketching stencils

    Armando Solar-Lezama;Gilad Arnold;Liviu Tancau;Rastislav Bodik

  • A language for automatically enforcing privacy policies

    Jean Yang;Kuat Yessenov;Armando Solar-Lezama

  • The Sketching Approach to Program Synthesis

    Armando Solar-Lezama

  • Optimizing database-backed applications with query synthesis

    Alvin Cheung;Armando Solar-Lezama;Samuel Madden

  • Learning to Infer Graphics Programs from Hand-Drawn Images

    Kevin Ellis;Daniel Ritchie;Armando Solar-Lezama;Joshua B. Tenenbaum

  • Fusion 360 gallery: a dataset and environment for programmatic CAD construction from human design sequences

    Karl D. D. Willis;Yewen Pu;Jieliang Luo;Hang Chu

  • Synthesizing data structure manipulations from storyboards

    Rishabh Singh;Armando Solar-Lezama

  • DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

    Kevin Ellis;Catherine Wong;Maxwell I. Nye;Mathias Sablé-Meyer

  • Write, Execute, Assess: Program Synthesis with a REPL

    Kevin Ellis;Maxwell I. Nye;Yewen Pu;Felix Sosa

  • DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning

    Kevin Ellis;Catherine Wong;Maxwell Nye;Mathias Sablé-Meyer

Frequent Co-Authors

Rishabh Singh
Rishabh Singh Google (United States)
Alvin Cheung
Alvin Cheung University of California, Berkeley
Rajeev Alur
Rajeev Alur University of Pennsylvania
Rastislav Bodik
Rastislav Bodik University of Washington
Jeffrey S. Foster
Jeffrey S. Foster Tufts University
Swarat Chaudhuri
Swarat Chaudhuri The University of Texas at Austin
Sanjit A. Seshia
Sanjit A. Seshia University of California, Berkeley

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