Alban Desmaison

28.4k citations
9 papers · 5.9k indexed · 2 hit papers · h-index 5
Topics
Advanced Neural Network Applications (3 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Parallel Computing and Optimization Techniques (2 papers)

In The Last Decade

Alban Desmaison

9 papers receiving 5.6k citations

Hit Papers

Automatic differentiation in PyTorch20172026202020232017202310002.0k3.0k4.0k5.0k

Peers

Alban Desmaison
Comparison fields: 5 of 182
  • Computer Vision and Pattern Recognition 3.0k
  • Artificial Intelligence 2.5k
  • Signal Processing 423
  • Electrical and Electronic Engineering 402
  • Radiology, Nuclear Medicine and Imaging 400
Replace Edward Z. Yang with:
Edward Z. Yang United States
Adam Paszke United States
Zachary DeVito United States
Sam Gross Israel
Soumith Chintala United States
Vinod Nair India
Xavier Glorot Canada
Timothy M. Hospedales United Kingdom
Kurt Keutzer United States
Pierre-Antoine Manzagol Canada
Alban Desmaison relative to Edward Z. Yang United States Edward Z. Yang's profile →
Citations per field
00.5×1.5×
Edward Z. Yang · 1×
Citations per year

Countries citing papers authored by Alban Desmaison

Since Specialization
Citations

This map shows the geographic impact of Alban Desmaison's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alban Desmaison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alban Desmaison more than expected).

Fields of papers citing papers by Alban Desmaison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alban Desmaison. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alban Desmaison. The network helps show where Alban Desmaison may publish in the future.

Co-authorship network of co-authors of Alban Desmaison

This figure shows the co-authorship network connecting the top 25 collaborators of Alban Desmaison. A scholar is included among the top collaborators of Alban Desmaison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alban Desmaison. Alban Desmaison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 8
2
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallelbreakdown →
83
3 2
4 37
5 4
6
Learning Disentangled Representations in Deep Generative Models
5
7
Automatic differentiation in PyTorchbreakdown →
5707
8
Adaptive neural compilation
4
9
Learning to superoptimize programs
3

About Alban Desmaison

Alban Desmaison is a scholar working on General Social Sciences, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.0k citations), Artificial Intelligence (2.5k citations) and Media Technology (398 citations). Alban Desmaison has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Zachary DeVito, Luca Antiga, Sam Gross, Adam Paszke, Adam Lerer, Edward Z. Yang, Zeming Lin, Soumith Chintala, Philip H. S. Torr and Pushmeet Kohli. Their work appears in journals such as Proceedings of the VLDB Endowment, SIAM Journal on Imaging Sciences and Apollo (University of Cambridge).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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