128 citations · 738 across the 58 of their papers we have counts for
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A Scalable Factorization Approach for High-Order Structured Tensor Recovery
Zhen Qin, Michael B. Wakin, Zhihui Zhu
Tensor decompositions, which represent an -order tensor using approximately factors of much smaller dimensions, can significantly reduce the number of parameters. This is pa…
Error Analysis of Tensor-Train Cross Approximation
Zhen Qin, Alexander Lidiak, Zhexuan Gong +3
Tensor train decomposition is widely used in machine learning and quantum physics due to its concise representation of high-dimensional tensors, overcoming the curse of dimensional…
Digital Beamforming Robust to Time-Varying Carrier Frequency Offset
Shuang Li, Payam Nayeri, Michael B. Wakin
Adaptive interference cancellation is rapidly becoming a necessity for our modern wireless communication systems, due to the proliferation of wireless devices that interfere with e…
The Effectiveness of Variational Autoencoders for Active Learning
Farhad Pourkamali-Anaraki, Michael B. Wakin
The high cost of acquiring labels is one of the main challenges in deploying supervised machine learning algorithms. Active learning is a promising approach to control the learning…
The Global Optimization Geometry of Shallow Linear Neural Networks
Zhihui Zhu, Daniel Soudry, Yonina C. Eldar +1
We examine the squared error loss landscape of shallow linear neural networks. We show---with significantly milder assumptions than previous works---that the corresponding optimiza…