---
title: "Yuri Burda — author profile and papers — Elamur Research"
description: "Yuri Burda, OpenAI: 3 papers on Elamur Research (2018–2022), h-index 9 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yuri-burda/"
---
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# Yuri Burda

Yuri Burda has 3 papers in our library, in 2018–2022, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Harri Edwards](https://md.research.elamur.ai/free/en/authors/harri-edwards/), [Alex Ray](https://md.research.elamur.ai/free/en/authors/alex-ray/), [Amos Storkey](https://md.research.elamur.ai/free/en/authors/amos-storkey/).

3 papers in our library · 2018–2022

[OpenAlex](https://openalex.org/A5055399590) · [**h-index 9**](https://openalex.org/authors/A5055399590) · [24 works](https://openalex.org/works?filter=author.id:A5055399590) · [2,632 citations](https://openalex.org/works?filter=author.id:A5055399590&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yuri-burda/#papers) · [🔗 Cited 2,946 times in our library](https://md.research.elamur.ai/free/en/authors/yuri-burda/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #1108](https://md.research.elamur.ai/free/en/paper-stars/page/12/#star-1108)

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=Yuri+Burda) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yuri+Burda) · [dblp](https://dblp.org/search?q=Yuri+Burda) · [ACL Anthology](https://aclanthology.org/search/?q=Yuri+Burda)

## Affiliations

[🏢**OpenAI** San Francisco · United States 2018–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/openai/) · [🎓**University of Toronto** Toronto · Canada 2008–2016 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-toronto/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 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/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/)

🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

💡 Concepts 2 Key ideas and methods explained on our concept pages.[Language model · 1 work](https://md.research.elamur.ai/free/en/concepts/language-model/) · [Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/)

## Works by year

### 2020s

[**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/yuri-burda/year/2022/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/yuri-burda/year/2021/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/yuri-burda/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Evaluating Large Language Models Trained on Code](https://md.research.elamur.ai/free/en/papers/chen-2021-evaluating-large-language-models-trained/)** *(2021 · 2,659 citations)* Code generation models were usually scored by how closely their output text matched a reference, for example with BLEU.
2. **[Exploration by Random Network Distillation](https://md.research.elamur.ai/free/en/papers/burda-2018-exploration-random-network-distillation/)** *(2018 · 302 citations)* Deep reinforcement learning agents often fail when rewards are sparse. Many existing curiosity-style or count-style exploration techniques are also hard to run across many parallel environments. The authors propose Random Network Distillation (RND). A fixed, randomly initialized target network maps each observation…
3. **[Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets](https://md.research.elamur.ai/free/en/papers/power-2022-grokking-generalization-overfitting-small-algorithmic/)** *(2022 · 177 citations)* Why heavily overparameterized networks generalize instead of simply memorizing their training data is still poorly understood.

## All works

8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**Evaluating Large Language Models Trained on Code arXiv:2107.03374**Mark Chen, Jerry Tworek, Heewoo Jun, et al.*2021 · 2,659 citations*](https://md.research.elamur.ai/free/en/papers/chen-2021-evaluating-large-language-models-trained/)
2. **[Large-Scale Study of Curiosity-Driven Learning ↗](https://arxiv.org/abs/1808.04355) arXiv:1808.04355 · no summary yet**Yuri Burda et al.*2018 · 357 citations*
3. **[Importance Weighted Autoencoders ↗](https://arxiv.org/abs/1509.00519) arXiv (Cornell University) · no summary yet**Yuri Burda, Roger Grosse, Ruslan Salakhutdinov*2015 · 316 citations*
4. [**Exploration by Random Network Distillation arXiv:1810.12894**Yuri Burda, Harrison Edwards, Amos Storkey, et al.*2018 · 302 citations*](https://md.research.elamur.ai/free/en/papers/burda-2018-exploration-random-network-distillation/)
5. [**Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets arXiv:2201.02177**Alethea Power, Yuri Burda, Harri Edwards, et al.*2022 · 177 citations*](https://md.research.elamur.ai/free/en/papers/power-2022-grokking-generalization-overfitting-small-algorithmic/)
6. **[Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing ↗](https://arxiv.org/abs/1412.8566) arXiv (Cornell University) · no summary yet**Yuri Burda, Roger Grosse, Ruslan Salakhutdinov*2014 · 43 citations*
7. **[On the Quantitative Analysis of Decoder-Based Generative Models ↗](https://arxiv.org/abs/1611.04273) arXiv (Cornell University) · no summary yet**Yuhuai Wu et al.*2016 · 41 citations*
8. **[Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing. arXiv:1412.8566 ↗](https://openalex.org/W7100459168) no summary yet**Yuri Burda, Roger Grosse, Ruslan Salakhutdinov*2014*

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Harri Edwards](https://md.research.elamur.ai/free/en/authors/harri-edwards/) ×2
- [Alex Ray](https://md.research.elamur.ai/free/en/authors/alex-ray/)
- [Amos Storkey](https://md.research.elamur.ai/free/en/authors/amos-storkey/)
- [Greg Brockman](https://md.research.elamur.ai/free/en/authors/greg-brockman/)
- [Heewoo Jun](https://md.research.elamur.ai/free/en/authors/heewoo-jun/)
- [Igor Babuschkin](https://md.research.elamur.ai/free/en/authors/igor-babuschkin/)
- [Jared Kaplan](https://md.research.elamur.ai/free/en/authors/jared-kaplan/)
- [Jerry Tworek](https://md.research.elamur.ai/free/en/authors/jerry-tworek/)
- [Mark I-Cheng Chen](https://md.research.elamur.ai/free/en/authors/mark-i-cheng-chen/)
- [Nicholas Joseph](https://md.research.elamur.ai/free/en/authors/nicholas-joseph/)
- [Qiming Yuan](https://md.research.elamur.ai/free/en/authors/qiming-yuan/)
- [Raul Puri](https://md.research.elamur.ai/free/en/authors/raul-puri/)

## Cited by

Papers of our library cite their works 2,946 times (of the 149,439 papers whose bibliographies we read); [794 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yuri-burda/cited-by/).

Updated 2 November 2026
