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Maxim Neumann

Maxim Neumann has 2 papers in our library, in 2021–2024; often with Andre Susano Pinto, Daniel Keysers, Alexander Kolesnikov.

2 papers in our library · 2021–2024

OpenAlex · ORCID · Wikidata · h-index 25 · 134 works · 5,017 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 418 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5792

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢GoogleZurich · Switzerland2019–2026 · 7 papersEmployment since 2019 · Google Researchcurrent🏢Google DeepMindLondon · United Kingdom2024–2026 · 4 paperscurrent🔬Institut d'Électronique et des Technologies du numéRiqueRennes · France2005–2010 · 29 papers🔬Jet Propulsion LaboratoryPasadena · United States2009–2024 · 18 papersEmployment 2009–2015🎓Technische Universität BerlinBerlin · Germany2002–2010 · 13 papersEducation until 2004 · M.S., Computer Vision And Remote Sensing🎓Université de RennesRennes · France2005–2010 · 13 papersEducation until 2009 · Ph.D., IETR🎓California Institute of TechnologyPasadena · United States2011–2016 · 11 papers🎓Université Rennes 1Rennes · France2007–2010 · 10 papersEducation until 2009🏢GoogleMountain View · United States2017–2022 · 9 papersEmployment 2017–2019🔬Max Planck Institute for Evolutionary AnthropologyLeipzig · Germany2009–2010 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 3The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 works

 Works by year

2020s

20241 paper20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PaliGemma: A versatile 3B VLM for transfer (2024 · 142 citations)
    The paper targets a practical need: a compact, openly available vision-language model that works as a general base and can be fine-tuned to many downstream tasks.
  2. Scaling Vision with Sparse Mixture of Experts (2021 · 128 citations)
    Large vision networks are usually dense: each parameter touches every input, so growing capacity drives up compute.

All works

3 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. Progressive Neural Architecture Search ↗Lecture notes in computer science · no summary yetChenxi Liu et al.2018 · 2,023 citations
  2. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  3. Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974Carlos Riquelme, Joan Puigcerver, Basil Mustafa, et al.2021 · 128 citations

 Co-authors here

12 of 14 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 418 times (of the 149,439 papers whose bibliographies we read); 45 citing papers with a page here →.

Updated

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