---
title: "Daniel Tarlow — author profile and papers — Elamur Research"
description: "Daniel Tarlow, Google: 2 papers on Elamur Research (2015–2021), h-index 24 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/daniel-tarlow/"
---
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# Daniel Tarlow

Daniel Tarlow has 2 papers in our library, in 2015–2021, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Andrew Gordon](https://md.research.elamur.ai/free/en/authors/andrew-gordon/), [Jacob Austin](https://md.research.elamur.ai/free/en/authors/jacob-austin/), [Jonathan Ho](https://md.research.elamur.ai/free/en/authors/jonathan-ho/).

2 papers in our library · 2015–2021

[OpenAlex](https://openalex.org/A5081231468) · [ORCID](https://orcid.org/0009-0009-4304-6395) · [Wikidata](https://www.wikidata.org/wiki/Q130933216) · [**h-index 24**](https://openalex.org/authors/A5081231468) · [101 works](https://openalex.org/works?filter=author.id:A5081231468) · [2,286 citations](https://openalex.org/works?filter=author.id:A5081231468&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daniel-tarlow/#papers) · [🔗 Cited 466 times in our library](https://md.research.elamur.ai/free/en/authors/daniel-tarlow/cited-by/) · [17 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4572](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4572)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Daniel+Tarlow) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daniel+Tarlow) · [dblp](https://dblp.org/search?q=Daniel+Tarlow) · [ACL Anthology](https://aclanthology.org/search/?q=Daniel+Tarlow)

## Affiliations

[🏢**Google** Mountain View · United States 2019–2024 · 17 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Microsoft** Redmond · United States 2013–2017 · 18 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Toronto** Toronto · Canada 2006–2015 · 18 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🏢**Microsoft Research** Cambridge · United Kingdom 2013–2017 · 6 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-united-kingdom/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/)

## Works by year

### 2020s

[**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-tarlow/year/2021/)

### 2010s

[**2015** 1 paper](https://md.research.elamur.ai/free/en/authors/daniel-tarlow/year/2015/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Structured Denoising Diffusion Models in Discrete State-Spaces](https://md.research.elamur.ai/free/en/papers/austin-2021-structured-denoising-diffusion-models-discrete/)** *(2021 · 284 citations)* Most diffusion generative models rely on continuous Gaussian noise. That fits images and audio but not inherently discrete data such as text or quantized pixels. Earlier discrete versions spread corruption uniformly across categories and had not proven competitive at scale. The authors (Google Research) propose D3PMs…
2. **[Bimodal Modelling of Source Code and Natural Language](https://md.research.elamur.ai/free/en/papers/allamanis-2015-bimodal-modelling-source-code-natural/)** *(2015 · 179 citations)* The authors build a probabilistic model that jointly describes short natural-language phrases and fragments of source code.

## All works

19 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Gated Graph Sequence Neural Networks ↗](https://arxiv.org/abs/1511.05493) arXiv:1511.05493 · no summary yet**Yujia Li et al.*2015 · 576 citations*
2. [**Structured Denoising Diffusion Models in Discrete State-Spaces arXiv:2107.03006**Jacob Austin, Daniel D. Johnson, Jonathan Ho, et al.*2021 · 284 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-structured-denoising-diffusion-models-discrete/)
3. [**Bimodal Modelling of Source Code and Natural Language ICML 2015, PMLR 37:2123–2132**Miltos Allamanis, Daniel Tarlow, Andrew Gordon, et al.*2015 · 179 citations*](https://md.research.elamur.ai/free/en/papers/allamanis-2015-bimodal-modelling-source-code-natural/)
4. **[HOP-MAP: Efficient Message Passing with High Order Potentials ↗](https://openalex.org/W2144414892) International Conference on Artificial Intelligence and Statistics · no summary yet**Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel*2010 · 114 citations*
5. **[Fits Like a Glove: Rapid and Reliable Hand Shape Personalization ↗](https://doi.org/10.1109/cvpr.2016.605) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**David Joseph Tan et al.*2016 · 85 citations*
6. **[Graph Partition Neural Networks for Semi-Supervised Classification ↗](https://arxiv.org/abs/1803.06272) arXiv (Cornell University) · no summary yet**Renjie Liao et al.*2018 · 55 citations*
7. **[Learning Articulated Structure and Motion ↗](https://doi.org/10.1007/s11263-010-0325-y) International Journal of Computer Vision · no summary yet**David A. Ross, Daniel Tarlow, Richard S. Zemel*2010 · 49 citations*
8. **[Structured Output Learning with High Order Loss Functions ↗](https://openalex.org/W2182705849) no summary yet**Daniel Tarlow, Richard S. Zemel*2012 · 45 citations*
9. **[Exploring Compositional High Order Pattern Potentials for Structured Output Learning ↗](https://doi.org/10.1109/cvpr.2013.14) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yujia Li, Daniel Tarlow, Richard S. Zemel*2013 · 33 citations*
10. **[Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ↗](https://openalex.org/W2161627023) no summary yet**Daniel Tarlow et al.*2013 · 30 citations*
11. **[Fast Exact Inference for Recursive Cardinality Models ↗](https://arxiv.org/abs/1210.4899) arXiv (Cornell University) · no summary yet**Daniel Tarlow et al.*2012 · 27 citations*
12. **[Flexible Priors for Exemplar-based Clustering ↗](https://arxiv.org/abs/1206.3294) arXiv (Cornell University) · no summary yet**Daniel Tarlow, Richard S. Zemel, Brendan J. Frey*2012 · 21 citations*
13. **[Unsupervised Learning of Skeletons from Motion ↗](https://doi.org/10.1007/978-3-540-88690-7_42) Lecture notes in computer science · no summary yet**David A. Ross, Daniel Tarlow, Richard S. Zemel*2008 · 18 citations*
14. **[Graph cuts is a max-product algorithm ↗](https://openalex.org/W2403968605) no summary yet**Daniel Tarlow et al.*2011 · 17 citations*
15. **[Interpreting Graph Cuts as a Max-Product Algorithm ↗](https://arxiv.org/abs/1105.1178) arXiv (Cornell University) · no summary yet**Daniel Tarlow et al.*2011 · 3 citations*
16. **[Learning Articulated Skeletons from Motion ↗](https://openalex.org/W2529268278) no summary yet**David A. Ross, Daniel Tarlow, Richard S. Zemel*2007 · 3 citations*
17. **[Under review as a conference paper at ICLR 2016 GATED GRAPH SEQUENCE NEURAL NETWORKS ↗](https://openalex.org/W7097123464) no summary yet**Yujia Li et al.*2016*
18. **[Factorizing Shortest Paths with Randomized Optimum Models ↗](https://doi.org/10.7551/mitpress/10761.003.0004) The MIT Press eBooks · no summary yet**Daniel Tarlow et al.*2016*
19. **[Exploring Compositional High Order Pattern Potentials for Structured Output Learning Supplementary Material ↗](https://openalex.org/W7095304666) no summary yet**Yujia Li, Daniel Tarlow, Rich Zemel*2013*

## Co-authors here

3 co-authors with a page, the most papers together first.

- [Andrew Gordon](https://md.research.elamur.ai/free/en/authors/andrew-gordon/)
- [Jacob Austin](https://md.research.elamur.ai/free/en/authors/jacob-austin/)
- [Jonathan Ho](https://md.research.elamur.ai/free/en/authors/jonathan-ho/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- ICML 2015, PMLR 37:2123–2132
- International Conference on Artificial Intelligence and Statistics
- International Journal of Computer Vision
- Lecture notes in computer science
- The MIT Press eBooks

## Cited by

Papers of our library cite their works 466 times (of the 149,439 papers whose bibliographies we read); [79 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daniel-tarlow/cited-by/).

Updated 3 November 2026
