--- title: "Daniele Calandriello — author profile and papers in our library" description: "Daniele Calandriello, Institut national de recherche en sciences et technologies du numérique: 2 papers on Elamur Research (2023), h-index…" canonical: "https://research.elamur.ai/free/en/authors/daniele-calandriello/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/daniele-calandriello/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Daniele Calandriello # Daniele Calandriello Daniele Calandriello has 2 papers in our library, in 2023; often with [Mark Rowland](https://md.research.elamur.ai/free/en/authors/mark-rowland/), [Michal Valko](https://md.research.elamur.ai/free/en/authors/michal-valko/), [Mohammad Gheshlaghi Azar](https://md.research.elamur.ai/free/en/authors/mohammad-gheshlaghi-azar/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5018745259) · [**h-index 12**](https://openalex.org/authors/A5018745259) · [63 works](https://openalex.org/works?filter=author.id:A5018745259) · [408 citations](https://openalex.org/works?filter=author.id:A5018745259&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/#papers) · [🔗 Cited 280 times in our library](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/cited-by/) · [⭐ Paper Stars ranking: #5770](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5770) 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=Daniele+Calandriello) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Daniele+Calandriello) · [dblp](https://dblp.org/search?q=Daniele+Calandriello) · [ACL Anthology](https://aclanthology.org/search/?q=Daniele+Calandriello) ## Affiliations [🏢**Google DeepMind** London · United Kingdom 2020–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🔬**Italian Institute of Technology** Genoa · Italy 2018–2026 · 6 papers*current*](https://ror.org/042t93s57) · [🔬**Centre Inria de l'Université de Lille** Villeneuve-d'Ascq · France 2015–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/centre-inria-de-l-universite-de-lille/) · [🔬**Institut national de recherche en sciences et technologies du numérique** Le Chesnay-Rocquencourt · France 2015–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/institut-national-de-recherche-en-sciences-et-technologies-du-numerique/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2018–2022 · 5 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**Politecnico di Milano** Milan · Italy 2013–2014 · 4 papers](https://md.research.elamur.ai/free/en/universities/politecnico-di-milano/) · [🏢**Google** Mountain View · United States 2020–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🔬**IIT@MIT** Cambridge · United States 2018–2020 · 3 papers](https://ror.org/01wp8zh54) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [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/) · [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/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[A General Theoretical Paradigm to Understand Learning from Human Preferences](https://md.research.elamur.ai/free/en/papers/azar-2023-general-theoretical-paradigm-understand-learning/)** *(2023 · 263 citations)* This paper by researchers at Google DeepMind provides a theoretical foundation for methods that train language models from human preferences. 2. **[Nash Learning from Human Feedback](https://md.research.elamur.ai/free/en/papers/munos-2023-nash-learning-human-feedback/)** *(2023 · 32 citations)* Standard RLHF reduces pairwise human judgments to a scalar reward, typically through a Bradley-Terry model, and then optimizes the LLM against that score. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Mark Rowland](https://md.research.elamur.ai/free/en/authors/mark-rowland/) ×2 - [Michal Valko](https://md.research.elamur.ai/free/en/authors/michal-valko/) ×2 - [Mohammad Gheshlaghi Azar](https://md.research.elamur.ai/free/en/authors/mohammad-gheshlaghi-azar/) ×2 - [Rémi Munos](https://md.research.elamur.ai/free/en/authors/remi-munos/) ×2 - [Andrea Michi](https://md.research.elamur.ai/free/en/authors/andrea-michi/) - [Bilal Piot](https://md.research.elamur.ai/free/en/authors/bilal-piot/) - [Daniel Guo](https://md.research.elamur.ai/free/en/authors/daniel-guo/) - [Matthieu Geist](https://md.research.elamur.ai/free/en/authors/matthieu-geist/) - [Sertan Girgin](https://md.research.elamur.ai/free/en/authors/sertan-girgin/) ## Cited by Papers of our library cite their works 280 times (of the 149,439 papers whose bibliographies we read); [75 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/daniele-calandriello/cited-by/). Updated 3 November 2026