Pierre-Antoine Manzagol

13.2k total citations · 2 hit papers
9 papers, 8.1k citations indexed

About

Pierre-Antoine Manzagol is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Pierre-Antoine Manzagol has authored 9 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Pierre-Antoine Manzagol's work include Generative Adversarial Networks and Image Synthesis (3 papers), Blind Source Separation Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Pierre-Antoine Manzagol is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Blind Source Separation Techniques (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). Pierre-Antoine Manzagol collaborates with scholars based in Canada, United States and Sweden. Pierre-Antoine Manzagol's co-authors include Yoshua Bengio, Pascal Vincent, Hugo Larochelle, Dumitru Erhan, Samy Bengio, Nicolas Le Roux, Thierry Bertin-Mahieux, Douglas Eck, Vincent J. Hellendoorn and Subhodeep Moitra and has published in prestigious journals such as Journal of Machine Learning Research, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Pierre-Antoine Manzagol

9 papers receiving 7.7k citations

Hit Papers

align trajectories

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.

Extracting and composing robust features with denoising autoencoders

2008 4.4k citations Pascal Vincent, Hugo Larochelle et al. profile →
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

2010 3.3k citations Pascal Vincent, Hugo Larochelle et al. Journal of Machine Learning Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre-Antoine Manzagol Canada	7	3.7k	3.1k	1.2k	741	607	9	8.1k
Masashi Sugiyama Japan	47	5.4k 1.4×	3.1k 1.0×	1.3k 1.1×	793 1.1×	484 0.8×	419	10.1k
Xavier Glorot Canada	7	4.7k 1.3×	3.9k 1.2×	987 0.9×	508 0.7×	756 1.2×	7	10.3k
Mehdi Mirza Canada	5	3.1k 0.8×	3.9k 1.3×	719 0.6×	532 0.7×	514 0.8×	5	9.2k
Vinod Nair India	14	3.2k 0.9×	3.9k 1.3×	962 0.8×	427 0.6×	754 1.2×	23	9.8k
Shiliang Sun China	43	3.7k 1.0×	2.7k 0.9×	747 0.6×	581 0.8×	423 0.7×	197	7.2k
Sherjil Ozair United States	6	2.7k 0.7×	3.5k 1.1×	628 0.5×	521 0.7×	504 0.8×	7	8.5k
Simon Osindero United Kingdom	13	5.0k 1.3×	4.3k 1.4×	1.6k 1.4×	1.0k 1.4×	1.1k 1.9×	27	12.0k
Diederik P. Kingma United States	13	6.0k 1.6×	5.3k 1.7×	1.4k 1.3×	872 1.2×	625 1.0×	18	12.1k
Soumith Chintala United States	12	3.9k 1.1×	5.2k 1.7×	749 0.7×	442 0.6×	692 1.1×	18	9.9k
Yee‐Whye Teh Singapore	7	4.7k 1.3×	4.0k 1.3×	1.6k 1.4×	1.0k 1.4×	1.1k 1.8×	7	11.5k

Countries citing papers authored by Pierre-Antoine Manzagol

Since Specialization

Citations

This map shows the geographic impact of Pierre-Antoine Manzagol'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 Pierre-Antoine Manzagol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre-Antoine Manzagol more than expected).

Fields of papers citing papers by Pierre-Antoine Manzagol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre-Antoine Manzagol. 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 Pierre-Antoine Manzagol. The network helps show where Pierre-Antoine Manzagol may publish in the future.

Co-authorship network of co-authors of Pierre-Antoine Manzagol

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre-Antoine Manzagol. A scholar is included among the top collaborators of Pierre-Antoine Manzagol 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 Pierre-Antoine Manzagol. Pierre-Antoine Manzagol 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.

Austin, Jacob, Nimesh Ghelani, Pascal Lamblin, et al.. (2024). Resolving Code Review Comments with Machine Learning. 204–215. 6 indexed citations

2.

Chen, Zimin, Vincent J. Hellendoorn, Pascal Lamblin, et al.. (2021). PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair. Neural Information Processing Systems. 34. 12 indexed citations

3.

Arnold, Sébastien M. R., et al.. (2019). Reducing the variance in online optimization by transporting past gradients. Neural Information Processing Systems. 32. 5391–5402. 2 indexed citations

4.

Pedregosa, Fabián, et al.. (2019). Information matrices and generalization. arXiv (Cornell University). 4 indexed citations

5.

Vincent, Pascal, et al.. (2010). Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. Journal of Machine Learning Research. 11(110). 3371–3408. 3317 indexed citations breakdown →

6.

Erhan, Dumitru, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio, & Pascal Vincent. (2009). The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training. International Conference on Artificial Intelligence and Statistics. 153–160. 226 indexed citations

7.

Vincent, Pascal, Hugo Larochelle, Yoshua Bengio, & Pierre-Antoine Manzagol. (2008). Extracting and composing robust features with denoising autoencoders. 1096–1103. 4425 indexed citations breakdown →

8.

Manzagol, Pierre-Antoine, Thierry Bertin-Mahieux, & Douglas Eck. (2008). On The Use Of Sparce Time Relative Auditory Codes For Music.. Zenodo (CERN European Organization for Nuclear Research). 603–608. 12 indexed citations

9.

Roux, Nicolas Le, Pierre-Antoine Manzagol, & Yoshua Bengio. (2007). Topmoumoute Online Natural Gradient Algorithm. 20. 849–856. 60 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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