Dan Zheng
Dan Zheng is a software engineer at Google DeepMind. His interests are the intersection of programming languages and machine learning.
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Google
AI-assisted Assessment of Coding Practices in Industrial Code Review
Ivan Budiselic
Malgorzata (Gosia) Salawa
Juanjo Carin
Jovan Andonov
Mateusz Lewko
Marko Ivanković
Rene Just
2024
Dynamic Inference of Likely Symbolic Tensor Shapes in Python Machine Learning Programs
Koushik Sen
International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (2024) (to appear)
Resolving Code Review Comments with Machine Learning
Alexander Frömmgen
Peter Choy
Elena Khrapko
Marcus Revaj
2024 IEEE/ACM 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (to appear)
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
Rishab Goel
International Conference on Learning Representations (ICLR) (2023)
Effect Handlers and Choice-Based Learning in JAX
Shangyin Tan
Ningning Xie
NeurIPS Machine Learning for Systems Workshop (2023)
Mutable Value Semantics
Dimitri Racordon
Dave Abrahams
Brennan Saeta
Journal of Object Technology, 21 (2022)
Swift for TensorFlow: A portable, flexible platform for deep learning
Brennan Saeta
Marc Rasi
Brad Larson
Xihui Wu
Parker Schuh
Saleem Abdulrasool
Aleksandr Efremov
Dave Abrahams
Chris Lattner
Richard Wei
MLSys (2021)
