Hugo Larochelle

185 total papers · 61.3k total citations
77 papers, 20.4k citations indexed

About

Hugo Larochelle is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Hugo Larochelle has authored 77 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 39 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Hugo Larochelle's work include Generative Adversarial Networks and Image Synthesis (17 papers), Domain Adaptation and Few-Shot Learning (16 papers) and Multimodal Machine Learning Applications (9 papers). Hugo Larochelle is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (17 papers), Domain Adaptation and Few-Shot Learning (16 papers) and Multimodal Machine Learning Applications (9 papers). Hugo Larochelle collaborates with scholars based in Canada, United States and United Kingdom. Hugo Larochelle's co-authors include Yoshua Bengio, Pascal Vincent, Pierre-Antoine Manzagol, Iain Murray, Sachin Ravi, Aaron Courville, Karol Gregor, Pierre‐Marc Jodoin, Mohammad Havaei and Chris Pal and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Photonics and International Journal of Computer Vision.

In The Last Decade

Hugo Larochelle

75 papers receiving 19.5k citations

Hit Papers

Extracting and composing ... 2007 2026 2013 2019 2008 2010 2016 2017 2015 1000 2.0k 3.0k 4.0k
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Extracting and composing robust features with denoising autoencoders
    2008 4.4k citations Pascal Vincent, Hugo Larochelle et al. profile →
  2. 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 →
  3. Brain tumor segmentation with Deep Neural Networks
    2016 2.1k citations Mohammad Havaei, Axel Davy et al. Medical Image Analysis profile →
  4. Deep learning with coherent nanophotonic circuits
    2017 2.0k citations Yichen Shen, Nicholas C. Harris et al. Nature Photonics profile →
  5. Proceedings of The 32nd International Conference on Machine Learning
    2015 1.6k citations Karol Gregor, Iain Murray et al. profile →
  6. Optimization as a Model for Few-Shot Learning
    2017 1.1k citations Sachin Ravi, Hugo Larochelle International Conference on Learning Representations profile →
  7. Exploring Strategies for Training Deep Neural Networks
    2009 757 citations Hugo Larochelle, Yoshua Bengio et al. Journal of Machine Learning Research profile →
  8. An empirical evaluation of deep architectures on problems with many factors of variation
    2007 665 citations Hugo Larochelle, Dumitru Erhan et al. profile →
  9. Autoencoding beyond pixels using a learned similarity metric
    2016 646 citations Anders Larsen, Søren Kaae Sønderby et al. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU) profile →
  10. Describing Videos by Exploiting Temporal Structure
    2015 591 citations Li Yao, Atousa Torabi et al. PolyPublie (École Polytechnique de Montréal) profile →
  11. Classification using discriminative restricted Boltzmann machines
    2008 449 citations Hugo Larochelle, Yoshua Bengio profile →
  12. Learning to combine foveal glimpses with a third-order Boltzmann machine
    2010 240 citations Hugo Larochelle, Geoffrey E. Hinton Neural Information Processing Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hugo Larochelle 10.5k 8.7k 2.9k 1.9k 1.5k 77 20.4k
Aaron Courville 15.2k 1.4× 15.1k 1.7× 2.1k 0.7× 3.0k 1.6× 2.8k 1.8× 103 36.1k
Patrick Haffner 15.9k 1.5× 15.0k 1.7× 4.6k 1.6× 2.7k 1.5× 2.1k 1.4× 57 37.1k
Nitish Srivastava 10.4k 1.0× 7.6k 0.9× 2.1k 0.7× 2.2k 1.2× 1.6k 1.1× 21 24.9k
Zhiheng Huang 10.0k 0.9× 15.1k 1.7× 1.5k 0.5× 1.0k 0.6× 2.6k 1.7× 90 26.9k
Wei Liu 10.7k 1.0× 17.3k 2.0× 2.2k 0.8× 1.9k 1.0× 3.6k 2.3× 187 32.5k
Laurens van der Maaten 13.5k 1.3× 11.2k 1.3× 1.4k 0.5× 3.0k 1.6× 1.5k 1.0× 62 32.2k
Dragomir Anguelov 10.5k 1.0× 21.4k 2.4× 2.3k 0.8× 2.1k 1.2× 3.6k 2.4× 54 36.9k
Pierre Sermanet 10.5k 1.0× 18.8k 2.2× 2.3k 0.8× 1.9k 1.0× 3.6k 2.4× 33 33.1k
Hao Su 9.2k 0.9× 17.1k 2.0× 1.4k 0.5× 958 0.5× 2.6k 1.7× 69 27.2k
Scott Reed 10.1k 1.0× 17.7k 2.0× 2.1k 0.7× 1.9k 1.0× 3.6k 2.4× 25 31.5k

Countries citing papers authored by Hugo Larochelle

Since Specialization
Citations

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

Fields of papers citing papers by Hugo Larochelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugo Larochelle

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

All Works

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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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