Dougal Maclaurin

Google (United States) — United States

Computer Science · Physical Sciences

14h-index4.9kcitations38works1.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Parallel Computing and Optimization Techniques(8), Logic, programming, and type systems(8), Diamond and Carbon-based Materials Research(8), Formal Methods in Verification(7), Gaussian Processes and Bayesian Inference(7)

Publications38 total

PartIR: Composing SPMD Partitioning Strategies for Machine Learning
2025· 4 cited
Parallel Algebraic Effect Handlers
Proceedings of the ACM on Programming Languages·2024Open Access
PartIR: Composing SPMD Partitioning Strategies for Machine Learning
arXiv (Cornell University)·2024Open Access
You Only Linearize Once: Tangents Transpose to Gradients
Proceedings of the ACM on Programming Languages·2023· 13 citedOpen Access
The Foil: Capture-Avoiding Substitution With No Sharp Edges
arXiv (Cornell University)·2022Open Access
The Foil: Capture-Avoiding Substitution With No Sharp Edges
2022· 2 citedOpen Access
You Only Linearize Once: Tangents Transpose to Gradients
arXiv (Cornell University)·2022· 1 citedOpen Access
Parallel Algebraic Effect Handlers
arXiv (Cornell University)·2021Open Access
Parallelism-preserving automatic differentiation for second-order array languages
2021· 5 citedOpen Access
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming
Proceedings of the ACM on Programming Languages·2021· 1 citedOpen Access
Decomposing reverse-mode automatic differentiation
arXiv (Cornell University)·2021· 3 citedOpen Access
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for\n Pointful Array Programming
arXiv (Cornell University)·2021· 1 citedOpen Access
Differentiating a Tensor Language
arXiv (Cornell University)·2020· 5 citedOpen Access
Automatically batching control-intensive programs for modern accelerators
Proceedings of Machine Learning and Systems·2020
Automatically Batching Control-Intensive Programs for Modern Accelerators
arXiv (Cornell University)·2019· 2 citedOpen Access
Dex: array programming with typed indices
2019· 7 cited
Transforming recursive programs for parallel execution
2019
Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach
Nature Materials·2016· 1.1k cited
Modeling, Inference and Optimization with Composable Differentiable Procedures
Digital Access to Scholarship at Harvard (DASH) (Harvard University)·2016· 37 citedOpen Access
Early Stopping as Nonparametric Variational Inference
International Conference on Artificial Intelligence and Statistics·2016· 60 cited
page 1 of 2Next →

Frequent Co-authors

Adam Paszke(12), Alexey Radul(11), David Duvenaud(7), Ryan P. Adams(7), Lloyd C. L. Hollenberg(7), Adam E. Cohen(5), Matthew Johnson(5), Dimitrios Vytiniotis(5), Daniel R. Hochbaum(4), Joel M. Kralj(4), Alastair Stacey(4), Liam T. Hall(4), Steven Prawer(4), Paul Mulvaney(4), Jörg Wrachtrup(4), Roy Frostig(4), Liam P. McGuinness(3), Yan Yan(3), David Simpson(3), R. E. Scholten(3)