Prof. Anima Anandkumar (@animaanandkumar) 's Twitter Profile
Prof. Anima Anandkumar

@animaanandkumar

Bren Professor @caltech, Time100, Fmr Sr Director of #AI research @nvidia, Fmr Principal Scientist @awscloud, AI+Science, PDE, Neural operators. Views my own.

ID: 1393424079634395139

linkhttp://tensorlab.cms.caltech.edu/users/anima/ calendar_today15-05-2021 04:32:55

2,2K Tweet

31,31K Followers

2,2K Following

Prof. Anima Anandkumar (@animaanandkumar) 's Twitter Profile Photo
Prof. Anima Anandkumar
@animaanandkumar

2 years ago

How do we capture local features across multiple resolutions? While standard convolutional layers work only on a fixed input-resolution, we design local neural operators that learn integral and differential kernels, and are principled ways to extend standard convolutions to

How do we capture local features across multiple resolutions? While standard convolutional layers work only on a fixed input-resolution, we design local neural operators that learn integral and differential kernels, and are principled ways to extend standard convolutions to