823 citations · 1.4k across the 32 of their papers we have counts for
35 papers
Group-Theoretic Wideband Radar Waveform Design
Kumar Vijay Mishra, Samuel Pinilla, Ali Pezeshki +1
We investigate the theory of affine groups in the context of designing radar waveforms that obey the desired wideband ambiguity function (WAF). The WAF is obtained by correlating t…
Designing the Quantum Channels Induced by Diagonal Gates
Jingzhen Hu, Qingzhong Liang, Robert Calderbank
The challenge of quantum computing is to combine error resilience with universal computation. Diagonal gates such as the transversal gate play an important role in implementing…
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters
Wei Zhu, Qiang Qiu, Robert Calderbank +2
Encoding the scale information explicitly into the representation learned by a convolutional neural network (CNN) is beneficial for many computer vision tasks especially when deali…
Prediction in Online Convex Optimization for Parametrizable Objective Functions
Robert Ravier, Vahid Tarokh
Many techniques for online optimization problems involve making decisions based solely on presently available information: fewer works take advantage of potential predictions. In t…
Geometric Matrix Completion with Deep Conditional Random Fields
Duc Minh Nguyen, Robert Calderbank, Nikos Deligiannis
The problem of completing high-dimensional matrices from a limited set of observations arises in many big data applications, especially, recommender systems. Existing matrix comple…
Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning
Duc Minh Nguyen, Evaggelia Tsiligianni, Robert Calderbank +1
Autoencoders are popular among neural-network-based matrix completion models due to their ability to retrieve potential latent factors from the partially observed matrices. Neverth…