Guillaume Alain

1.4k total citations
8 papers, 410 citations indexed

About

Guillaume Alain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Guillaume Alain has authored 8 papers receiving a total of 410 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 Statistical and Nonlinear Physics. Recurrent topics in Guillaume Alain's work include Neural Networks and Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Model Reduction and Neural Networks (2 papers). Guillaume Alain is often cited by papers focused on Neural Networks and Applications (5 papers), Generative Adversarial Networks and Image Synthesis (4 papers) and Model Reduction and Neural Networks (2 papers). Guillaume Alain collaborates with scholars based in Canada, Finland and United States. Guillaume Alain's co-authors include Yoshua Bengio, Pascal Vincent, Li Yao, Liang Zhang, Wa James Tam, Tapani Raiko, Mathias Berglund, Laurent Dinh, Li Yao and Jason Yosinski and has published in prestigious journals such as Bioinformatics, Journal of Machine Learning Research and Information and Inference A Journal of the IMA.

In The Last Decade

Guillaume Alain

8 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guillaume Alain Canada	7	215	186	86	24	21	8	410
Ilya Tolstikhin Germany	5	247 1.1×	219 1.2×	42 0.5×	15 0.6×	9 0.4×	9	398
Pradeep Natarajan United States	14	505 2.3×	238 1.3×	85 1.0×	14 0.6×	9 0.4×	38	656
Daniel Stanley Tan Taiwan	9	279 1.3×	170 0.9×	31 0.4×	59 2.5×	13 0.6×	37	460
Peiqi Chai China	9	346 1.6×	115 0.6×	55 0.6×	29 1.2×	21 1.0×	17	509
Philipp Benz South Korea	11	252 1.2×	241 1.3×	44 0.5×	23 1.0×	32 1.5×	12	447
Xiaochun Wang China	8	85 0.4×	158 0.8×	49 0.6×	18 0.8×	12 0.6×	46	286
Oleg Okun Finland	14	263 1.2×	179 1.0×	59 0.7×	49 2.0×	80 3.8×	29	483
W.C. Siu Hong Kong	12	338 1.6×	62 0.3×	87 1.0×	64 2.7×	44 2.1×	33	469
Erhan Gökçay Türkiye	7	111 0.5×	158 0.8×	54 0.6×	21 0.9×	24 1.1×	15	292

Countries citing papers authored by Guillaume Alain

Since Specialization

Citations

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

Fields of papers citing papers by Guillaume Alain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillaume Alain. 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 Guillaume Alain. The network helps show where Guillaume Alain may publish in the future.

Co-authorship network of co-authors of Guillaume Alain

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Alain. A scholar is included among the top collaborators of Guillaume Alain 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 Guillaume Alain. Guillaume Alain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Alain, Guillaume, Yoshua Bengio, Li Yao, et al.. (2016). GSNs: generative stochastic networks. Information and Inference A Journal of the IMA. 5(2). 210–249. 18 indexed citations

2.

Alain, Guillaume & Yoshua Bengio. (2016). Understanding intermediate layers using linear classifier probes. arXiv (Cornell University). 55 indexed citations

3.

Raiko, Tapani, Mathias Berglund, Guillaume Alain, & Laurent Dinh. (2015). Techniques for Learning Binary Stochastic Feedforward Neural Networks. arXiv (Cornell University). 23 indexed citations

4.

Alain, Guillaume & Yoshua Bengio. (2013). What Regularized Auto-Encoders Learn from the Data Generating Distribution. Journal of Machine Learning Research. 15(1). 3563–3593. 130 indexed citations

5.

Bengio, Yoshua, Li Yao, Guillaume Alain, & Pascal Vincent. (2013). Generalized Denoising Auto-Encoders as Generative Models. arXiv (Cornell University). 26. 899–907. 103 indexed citations

6.

Alain, Guillaume, Yoshua Bengio, & Salah Rifai. (2012). Regularized Auto-Encoders Estimate Local Statistics. arXiv (Cornell University). 3 indexed citations

7.

Shah, Sohrab P., K-John Cheung, Nathalie A. Johnson, et al.. (2009). Model-based clustering of array CGH data. Bioinformatics. 25(12). i30–i38. 13 indexed citations

8.

Tam, Wa James, et al.. (2004). Smoothing depth maps for improved steroscopic image quality. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5599. 162–162. 65 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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