3 citations · 5 across the 3 of their papers we have counts for
5 papers
FunkNN: Neural Interpolation for Functional Generation
AmirEhsan Khorashadizadeh, Anadi Chaman, Valentin Debarnot +1
Can we build continuous generative models which generalize across scales, can be evaluated at any coordinate, admit calculation of exact derivatives, and are conceptually simple? E…
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling
Anadi Chaman, Ivan Dokmanić
Convolutional neural networks lack shift equivariance due to the presence of downsampling layers. In image classification, adaptive polyphase downsampling (APS-D) was recently prop…
Truly shift-invariant convolutional neural networks
Anadi Chaman, Ivan Dokmanić
Thanks to the use of convolution and pooling layers, convolutional neural networks were for a long time thought to be shift-invariant. However, recent works have shown that the out…
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Tianlin Liu, Anadi Chaman, David Belius +1
Convolutional neural networks (CNNs) have been tremendously successful in solving imaging inverse problems. To understand their success, an effective strategy is to construct simpl…
Multipath-enabled private audio with noise
Anadi Chaman, Yu-Jeh Liu, Jonah Casebeer +1
We address the problem of privately communicating audio messages to multiple listeners in a reverberant room using a set of loudspeakers. We propose two methods based on emitting n…