--- title: "Saurabh Saxena — author profile and papers in our library" description: "Saurabh Saxena: 2 papers on Elamur Research (2020–2022) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/saurabh-saxena/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/saurabh-saxena/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Saurabh Saxena # Saurabh Saxena Saurabh Saxena has 2 papers in our library, in 2020–2022, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Chitwan Saharia](https://md.research.elamur.ai/free/en/authors/chitwan-saharia/), [William Chan](https://md.research.elamur.ai/free/en/authors/william-chan/), [Burcu Karagol Ayan](https://md.research.elamur.ai/free/en/authors/burcu-karagol-ayan/). 2 papers in our library · 2020–2022 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/saurabh-saxena/#papers) · [🔗 Cited 428 times in our library](https://md.research.elamur.ai/free/en/authors/saurabh-saxena/cited-by/) · [⭐ Paper Stars ranking: #1060](https://md.research.elamur.ai/free/en/paper-stars/page/11/#star-1060) 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=Saurabh+Saxena) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Saurabh+Saxena) · [dblp](https://dblp.org/search?q=Saurabh+Saxena) · [ACL Anthology](https://aclanthology.org/search/?q=Saurabh+Saxena) ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/) ## Works by year ### 2020s [**2022** 1 paper Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding](https://md.research.elamur.ai/free/en/papers/saharia-2022-photorealistic-text-image-diffusion-models/) · [**2020** 1 paper Non-Autoregressive Machine Translation with Latent Alignments](https://md.research.elamur.ai/free/en/papers/saharia-2020-non-autoregressive-machine-translation-latent/) ## Papers The most cited first (OpenAlex and our library). 1. **[Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding](https://md.research.elamur.ai/free/en/papers/saharia-2022-photorealistic-text-image-diffusion-models/)** *(2022 · 2,423 citations)* Most text-to-image systems learn their text encoders from paired image-caption data, which may limit how well they handle complex or compositional prompts. 2. **[Non-Autoregressive Machine Translation with Latent Alignments](https://md.research.elamur.ai/free/en/papers/saharia-2020-non-autoregressive-machine-translation-latent/)** *(2020 · 176 citations)* The paper addresses two common weaknesses of non-autoregressive machine translation: duplicated tokens caused by conditionally independent predictions, and the need to predict the output length in advance and often re-score several length candidates. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Chitwan Saharia](https://md.research.elamur.ai/free/en/authors/chitwan-saharia/) ×2 - [William Chan](https://md.research.elamur.ai/free/en/authors/william-chan/) ×2 - [Burcu Karagol Ayan](https://md.research.elamur.ai/free/en/authors/burcu-karagol-ayan/) - [Emily Denton](https://md.research.elamur.ai/free/en/authors/emily-denton/) - [Jonathan Ho](https://md.research.elamur.ai/free/en/authors/jonathan-ho/) - [Mohammad Norouzi](https://md.research.elamur.ai/free/en/authors/mohammad-norouzi/) - [S. Sara Mahdavi](https://md.research.elamur.ai/free/en/authors/s-sara-mahdavi/) - [Tim Salimans](https://md.research.elamur.ai/free/en/authors/tim-salimans/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2020](https://md.research.elamur.ai/free/en/venues/emnlp/2020/) ## Cited by Papers of our library cite their works 428 times (of the 141,840 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/saurabh-saxena/cited-by/). Updated 24 October 2026