World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6571
World Ranking
12939
National Ranking
5226

Overview

Marc Brockschmidt is a researcher affiliated with Google in the United States. Their work primarily focuses on computer science, with significant contributions to subfields including information systems, software, artificial intelligence, materials chemistry, and computational theory and mathematics.

Their research covers a broad range of topics such as software engineering research, software testing and debugging techniques, machine learning applications in materials science, topic modeling, natural language processing techniques, software reliability and analysis research, and protein structure and dynamics.

Marc Brockschmidt's recent publications include:

  • Self-Supervised Bug Detection and Repair, 2021, arXiv (Cornell University)
  • Learning to Extend Molecular Scaffolds with Structural Motifs, 2021, arXiv (Cornell University)
  • Copy That! Editing Sequences by Copying Spans, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics, 2023, arXiv (Cornell University)
  • Learning to Complete Code with Sketches, 2021, arXiv (Cornell University)

Frequently publishing in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, and ACM Transactions on Programming Languages and Systems, they have contributed at least seven works to arXiv alone.

Marc Brockschmidt has collaborated regularly with several researchers, including:

  • Miltiadis Allamanis
  • Sheena Panthaplackel
  • Henry Jackson-Flux
  • Krzysztof Maziarz
  • Pashmina Cameron

Best Publications

  • Gated Graph Sequence Neural Networks.

    Yujia Li;Daniel Tarlow;Marc Brockschmidt;Richard S. Zemel

  • Learning to Represent Programs with Graphs

    Miltiadis Allamanis;Marc Brockschmidt;Mahmoud Khademi

  • DeepCoder: Learning to Write Programs

    Matej Balog;Alexander L. Gaunt;Marc Brockschmidt;Sebastian Nowozin

  • Constrained Graph Variational Autoencoders for Molecule Design

    Qi Liu;Miltiadis Allamanis;Marc Brockschmidt;Alexander L. Gaunt

  • CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

    Hamel Husain;Ho-Hsiang Wu;Tiferet Gazit;Miltiadis Allamanis

  • Structured Neural Summarization

    Patrick Fernandes;Miltiadis Allamanis;Marc Brockschmidt

  • Analyzing Program Termination and Complexity Automatically with AProVE

    Jürgen Giesl;Cornelius Aschermann;Marc Brockschmidt;Fabian Emmes

  • TerpreT: A Probabilistic Programming Language for Program Induction

    Alexander L. Gaunt;Marc Brockschmidt;Rishabh Singh;Nate Kushman

  • Proving Termination of Programs Automatically with AProVE

    Jürgen Giesl;Marc Brockschmidt;Fabian Emmes;Florian Frohn

  • Generative Code Modeling with Graphs.

    Marc Brockschmidt;Miltiadis Allamanis;Alexander L. Gaunt;Oleksandr Polozov

  • Better termination proving through cooperation

    Marc Brockschmidt;Byron Cook;Carsten Fuhs

  • Analyzing Runtime and Size Complexity of Integer Programs

    Marc Brockschmidt;Fabian Emmes;Stephan Falke;Carsten Fuhs

  • Automated Termination Analysis of Java Bytecode by Term Rewriting

    Carsten Otto;Marc Brockschmidt;Christian von Essen;Jürgen Giesl

  • Alternating runtime and size complexity analysis of integer programs

    Marc Brockschmidt;Fabian Emmes;Stephan Falke;Carsten Fuhs

  • Analyzing Information Leakage of Updates to Natural Language Models

    Santiago Zanella-Béguelin;Lukas Wutschitz;Shruti Tople;Victor Rühle

  • Robust Text-to-SQL Generation with Execution-Guided Decoding

    Chenglong Wang;Kedar Tatwawadi;Marc Brockschmidt;Po-Sen Huang

  • Learning to Represent Edits.

    Pengcheng Yin;Graham Neubig;Miltiadis Allamanis;Marc Brockschmidt

  • T2: Temporal Property Verification

    Marc Brockschmidt;Byron Cook;Samin Ishtiaq;Heidy Khlaaf

  • Automated detection of non-termination and nullpointerexceptions for Java Bytecode

    Marc Brockschmidt;Thomas Ströder;Carsten Otto;Jürgen Giesl

  • GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation

    Marc Brockschmidt

  • Graph Partition Neural Networks for Semi-Supervised Classification

    Renjie Liao;Marc Brockschmidt;Daniel Tarlow;Alexander L. Gaunt

  • Program Synthesis and Semantic Parsing with Learned Code Idioms

    Richard Shin;Miltiadis Allamanis;Marc Brockschmidt;Oleksandr Polozov

  • Summary - TerpreT: A Probabilistic Programming Language for Program Induction

    Alexander L. Gaunt;Marc Brockschmidt;Rishabh Singh;Nate Kushman

Frequent Co-Authors

Jürgen Giesl
Jürgen Giesl RWTH Aachen University
Rishabh Singh
Rishabh Singh Google (United States)
Byron Cook
Byron Cook Amazon (United States)
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Richard S. Zemel
Richard S. Zemel University of Toronto
Andrey Rybalchenko
Andrey Rybalchenko Microsoft (United States)
Sebastian Nowozin
Sebastian Nowozin Microsoft (United States)
Graham Neubig
Graham Neubig Carnegie Mellon University
Nir Piterman
Nir Piterman University of Gothenburg
Raquel Urtasun
Raquel Urtasun University of Toronto

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens doors to a wide variety of online degrees and certifications. Many prospective students consider data science programs due to their high demand and affordability. These programs provide strong analytical and technical skills essential for today’s tech-driven job market.

Another popular direction is electrical engineering. There are many options available from top online electrical engineering schools, allowing students to study remotely while gaining valuable credentials in engineering and technology.

For those who want to enter the workforce quickly or boost their resumes, 3-month certificate programs that pay well offer fast and practical solutions. These certificates can enhance career opportunities without a long-term time commitment.

Additionally, anyone seeking advanced qualifications may consider the quickest masters degree online. These programs can fast-track career advancement and help students specialize in their chosen fields without delaying entry into the job market.

Best Scientists Citing Marc Brockschmidt

Trending Scientists