Alban Desmaison

28.4k total citations · 2 hit papers
9 papers, 5.9k citations indexed

About

Alban Desmaison is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Alban Desmaison has authored 9 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Hardware and Architecture. Recurrent topics in Alban Desmaison's work include Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Alban Desmaison is often cited by papers focused on Advanced Neural Network Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Alban Desmaison collaborates with scholars based in United Kingdom, United States and Mexico. Alban Desmaison's co-authors include Zeming Lin, Adam Paszke, Adam Lerer, Sam Gross, Edward Z. Yang, Luca Antiga, Soumith Chintala, Zachary DeVito, Pushmeet Kohli and Philip H. S. Torr and has published in prestigious journals such as Proceedings of the VLDB Endowment, SIAM Journal on Imaging Sciences and Apollo (University of Cambridge).

In The Last Decade

Alban Desmaison

9 papers receiving 5.6k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic differentiation in PyTorch

2017 5.7k citations Adam Paszke, Sam Gross et al. profile →
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

2023 83 citations Yanli Zhao, Rohan Varma et al. Proceedings of the VLDB Endowment profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alban Desmaison United Kingdom	5	3.0k	2.5k	423	402	400	9	5.9k
Adam Paszke United States	4	3.0k 1.0×	2.5k 1.0×	418 1.0×	429 1.1×	404 1.0×	7	6.0k
Edward Z. Yang United States	6	2.9k 1.0×	2.5k 1.0×	475 1.1×	398 1.0×	395 1.0×	10	5.9k
Zachary DeVito United States	11	3.0k 1.0×	2.5k 1.0×	421 1.0×	508 1.3×	395 1.0×	19	6.4k
Sam Gross Israel	5	3.4k 1.1×	3.8k 1.5×	579 1.4×	411 1.0×	424 1.1×	6	7.9k
Jean Pouget-Abadie United States	6	3.3k 1.1×	2.5k 1.0×	574 1.4×	473 1.2×	681 1.7×	11	8.2k
Sherjil Ozair United States	6	3.5k 1.2×	2.7k 1.1×	628 1.5×	504 1.3×	699 1.7×	7	8.5k
Vincent Dumoulin United States	10	2.1k 0.7×	1.5k 0.6×	467 1.1×	271 0.7×	375 0.9×	15	4.8k
Mehdi Mirza Canada	5	3.9k 1.3×	3.1k 1.3×	719 1.7×	514 1.3×	729 1.8×	5	9.2k
Adam Krzyżak Canada	35	2.7k 0.9×	3.4k 1.4×	722 1.7×	391 1.0×	347 0.9×	213	7.3k

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

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Desmaison, Alban, et al.. (2024). Dr. DNA: Combating Silent Data Corruptions in Deep Learning using Distribution of Neuron Activations. 239–252. 8 indexed citations

2.

Zhao, Yanli, Rohan Varma, Liang Luo, et al.. (2023). PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. Proceedings of the VLDB Endowment. 16(12). 3848–3860. 83 indexed citations breakdown →

3.

Desmaison, Alban, Thalaiyasingam Ajanthan, Rudy Bunel, et al.. (2019). Efficient Relaxations for Dense CRFs with Sparse Higher-Order Potentials. SIAM Journal on Imaging Sciences. 12(1). 287–318. 2 indexed citations

4.

Siddharth, N., Brooks Paige, Jan-Willem van de Meent, et al.. (2018). Learning disentangled representations with semi-supervised deep generative models. Apollo (University of Cambridge). 37 indexed citations

5.

Ajanthan, Thalaiyasingam, Alban Desmaison, Rudy Bunel, et al.. (2017). Efficient Linear Programming for Dense CRFs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2934–2942. 4 indexed citations

6.

Siddharth, N., Brooks Paige, Alban Desmaison, et al.. (2017). Learning Disentangled Representations in Deep Generative Models. 5 indexed citations

7.

Paszke, Adam, Sam Gross, Soumith Chintala, et al.. (2017). Automatic differentiation in PyTorch. 5707 indexed citations breakdown →

8.

Bunel, Rudy, Alban Desmaison, Manish Kumar, Philip H. S. Torr, & Pushmeet Kohli. (2016). Learning to superoptimize programs. Oxford University Research Archive (ORA) (University of Oxford). 3 indexed citations

9.

Bunel, Rudy, Alban Desmaison, Pushmeet Kohli, Philip H. S. Torr, & Manish Kumar. (2016). Adaptive neural compilation. Oxford University Research Archive (ORA) (University of Oxford). 29. 1452–1460. 4 indexed citations

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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