Laurens van der Maaten

Laurens is a Research Scientist at Facebook AI Research in New York. Prior to that, he worked as an assistant professor at Delft University of Technology (The Netherlands) and as a post-doctoral researcher at the University of California, San Diego. Laurens received his Ph.D. from Tilburg University (The Netherlands). With collaborators from Cornell University, he won the Best Paper Award at CVPR 2017. Laurens' interests range from machine learning to computer vision.

Laurens's Publications

April 07, 2020

RESEARCH

NLP

PHYRE: A New Benchmark for Physical Reasoning

Understanding and reasoning about physics is an important ability of intelligent agents. We develop the PHYRE benchmark for physical reasoning that contains a set of simple classical mechanics puzzles in a 2D physical environment. The benchmark…

Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross Girshick,

April 07, 2020

April 07, 2020

RESEARCH

COMPUTER VISION

Does Object Recognition Work for Everyone?

The paper analyzes the accuracy of publicly available object-recognition systems on a geographically diverse dataset. This dataset contains household items and was designed to have a more representative geographical coverage than commonly used…

Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten,

April 07, 2020

April 07, 2020

RESEARCH

COMPUTER VISION

Feature Denoising for Improving Adversarial Robustness

Adversarial attacks to image classification systems present challenges to convolutional networks and opportunities for understanding them. This study suggests that adversarial perturbations on images lead to noise in the features constructed by…

Kaiming He, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Cihang Xie,

April 07, 2020