455 citations · 971 across the 43 of their papers we have counts for
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Convolutional Dictionary Learning through Tensor Factorization
Furong Huang, Animashree Anandkumar
Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learni…
A Scale Mixture Perspective of Multiplicative Noise in Neural Networks
Eric Nalisnick, Anima Anandkumar, Padhraic Smyth
Corrupting the input and hidden layers of deep neural networks (DNNs) with multiplicative noise, often drawn from the Bernoulli distribution (or 'dropout'), provides regularization…
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models
Tejaswi Nimmagadda, Anima Anandkumar
Deep learning has shown state-of-art classification performance on datasets such as ImageNet, which contain a single object in each image. However, multi-object classification is f…
Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods
Anima Anandkumar, Hanie Sedghi
Community detection in graphs has been extensively studied both in theory and in applications. However, detecting communities in hypergraphs is more challenging. In this paper, we…