47 citations · 222 across the 30 of their papers we have counts for
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Learning flexible representations of stochastic processes on graphs
Addison Bohannon, Brian Sadler, Radu Balan
Graph convolutional networks adapt the architecture of convolutional neural networks to learn rich representations of data supported on arbitrary graphs by replacing the convolutio…
On a problem by Hans Feichtinger
Radu Balan, Kasso A. Okoudjou, Anirudha Poria
In this paper, we solve a spectral problem about positive semi-definite trace-class pseudodifferential operators on modulation spaces which was posed by H. Feichtinger. Later, C. H…
Lipschitz Properties for Deep Convolutional Networks
Radu Balan, Maneesh Singh, Dongmian Zou
In this paper we discuss the stability properties of convolutional neural networks. Convolutional neural networks are widely used in machine learning. In classification they are ma…