World's Best Scientists 2026 revealed!
Laurens van der Maaten

Laurens van der Maaten

D-Index & Metrics

Computer Science

D-Index
51
Citations
109644
World Ranking
5184
National Ranking
2377

Overview

Laurens van der Maaten is affiliated with Facebook in the United States and specializes in computer science research, with a focus on artificial intelligence and computer vision. Their work spans various subfields including artificial intelligence, computer vision and pattern recognition, computational theory and mathematics, infectious diseases, and health informatics.

The main topics explored in van der Maaten's research include privacy-preserving technologies in data, adversarial robustness in machine learning, cryptography and data security, multimodal machine learning applications, domain adaptation and few-shot learning, stochastic gradient optimization techniques, and advanced image and video retrieval techniques.

The scientist has published extensively, with notable recent papers including:

  • "Omnivore: A Single Model for Many Visual Modalities," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Revisiting Weakly Supervised Pre-Training of Visual Perception Models," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "CrypTen: Secure Multi-Party Computation Meets Machine Learning," 2021, arXiv (Cornell University)
  • "EIFFeL," 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • "CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning," 2025, arXiv (Cornell University)

Van der Maaten frequently collaborates with other researchers. Their frequent co-authors include Awni Hannun, Chuan Guo, Aaron Adcock, Rohit Girdhar, and Mannat Singh.

The scientist's work has been presented predominantly in venues such as arXiv (Cornell University), in which they have published 20 papers, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) with 2 papers, the Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, the Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, and the journal Information and Inference A Journal of the IMA.

Best Publications

  • Densely Connected Convolutional Networks

    Gao Huang;Zhuang Liu;Laurens van der Maaten;Kilian Q. Weinberger

  • Visualizing Data using t-SNE

    Laurens van der Maaten;Geoffrey Hinton

  • Accelerating t-SNE using tree-based algorithms

    Laurens Van Der Maaten

  • Dimensionality Reduction: A Comparative Review

    Laurens van der Maaten;Eric Postma;Jaap van den Herik

  • CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

    Justin Johnson;Bharath Hariharan;Laurens van der Maaten;Li Fei-Fei

  • 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

    Benjamin Graham;Martin Engelcke;Laurens van der Maaten

  • Exploring the Limits of Weakly Supervised Pretraining

    Dhruv Mahajan;Ross B. Girshick;Vignesh Ramanathan;Kaiming He

  • Self-Supervised Learning of Pretext-Invariant Representations

    Ishan Misra;Laurens van der Maaten

  • Countering Adversarial Images using Input Transformations

    Chuan Guo;Mayank Rana;Moustapha Cissé;Laurens van der Maaten

  • Feature Denoising for Improving Adversarial Robustness

    Cihang Xie;Yuxin Wu;Laurens van der Maaten;Alan L. Yuille

  • CondenseNet: An Efficient DenseNet Using Learned Group Convolutions

    Gao Huang;Shichen Liu;Laurens van der Maaten;Kilian Q. Weinberger

  • Learning a Parametric Embedding by Preserving Local Structure

    Laurens van der Maaten

  • Convolutional Networks with Dense Connectivity

    Gao Huang;Zhuang Liu;Geoff Pleiss;Laurens van der Maaten

  • Inferring and Executing Programs for Visual Reasoning

    Justin Johnson;Bharath Hariharan;Laurens van der Maaten;Judy Hoffman

  • Multi-Scale Dense Networks for Resource Efficient Image Classification

    Gao Huang;Danlu Chen;Tianhong Li;Felix Wu

  • VizBin - an application for reference-independent visualization and human-augmented binning of metagenomic data.

    Cedric Christian Laczny;Tomasz Sternal;Valentin Plugaru;Piotr Gawron

  • Submanifold Sparse Convolutional Networks

    Benjamin Graham;Laurens van der Maaten

  • Learning Visual Features from Large Weakly Supervised Data

    Armand Joulin;Laurens van der Maaten;Allan Jabri;Nicolas Vasilache

  • Visualizing non-metric similarities in multiple maps

    Laurens Maaten;Geoffrey Hinton

  • Approximated and User Steerable tSNE for Progressive Visual Analytics

    Nicola Pezzotti;Boudewijn P. F. Lelieveldt;Laurens van der Maaten;Thomas Hollt

  • SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.

    Yan Wang;Wei-Lun Chao;Kilian Q. Weinberger;Laurens van der Maaten

  • Certified Data Removal from Machine Learning Models

    Chuan Guo;Tom Goldstein;Awni Hannun;Laurens van der Maaten

Frequent Co-Authors

Kilian Q. Weinberger
Kilian Q. Weinberger Cornell University
Gao Huang
Gao Huang Tsinghua University
Ross Girshick
Ross Girshick Facebook (United States)
Ishan Misra
Ishan Misra Facebook (United States)
Armand Joulin
Armand Joulin Google (United States)
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)
Kaiming He
Kaiming He Facebook (United States)
Li Fei-Fei
Li Fei-Fei Stanford University
Boudewijn P. F. Lelieveldt
Boudewijn P. F. Lelieveldt Leiden University Medical Center
Serge Belongie
Serge Belongie University of Copenhagen

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As you explore studying Computer Science in the USA, it's worth considering the flexibility and variety offered by accredited online colleges. These institutions provide accessible options for students seeking to balance education with work or personal commitments, ensuring the degrees meet recognized standards.

Computer Science opens doors to dynamic fields like game design and cybersecurity. An online game development degree equips creative minds with programming, animation, and design skills highly sought after in the entertainment industry. Meanwhile, an online cyber security degree addresses growing demand for experts who can protect digital infrastructure and sensitive information in every sector.

Computer Science skills are also essential in fields like engineering and development. For example, those who want to bridge technology and project management may pursue an online construction management masters. This degree blends technical knowledge with leadership, preparing graduates for management roles in a rapidly evolving industry.

Best Scientists Citing Laurens van der Maaten

Trending Scientists