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Read-and-Run Constrained Coding for Modern Flash Devices


Nov 14, 2021
Ahmed Hareedy, Simeng Zheng, Paul Siegel, Robert Calderbank

* 7 pages (double column), 4 figures, submitted to the IEEE International Conference on Communications (ICC) 

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Learning to Equalize OTFS


Jul 17, 2021
Zhou Zhou, Lingjia Liu, Jiarui Xu, Robert Calderbank


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Unequal Error Protection Achieves Threshold Gains on BEC and BSC via Higher Fidelity Messages


Jan 22, 2021
Beyza Dabak, Ahmed Hareedy, Alexei Ashikhmin, Robert Calderbank

* 8 pages (double column), 3 figures, submitted to the IEEE International Symposium on Information Theory (ISIT) 

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Scale-Equivariant Neural Networks with Decomposed Convolutional Filters


Sep 24, 2019
Wei Zhu, Qiang Qiu, Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng


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Geometric Matrix Completion with Deep Conditional Random Fields


Jan 29, 2019
Duc Minh Nguyen, Robert Calderbank, Nikos Deligiannis

* 12 pages, 4 figures, 8 tables 

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DCFNet: Deep Neural Network with Decomposed Convolutional Filters


Jul 27, 2018
Qiang Qiu, Xiuyuan Cheng, Robert Calderbank, Guillermo Sapiro

* Published at ICML 2018 

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Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning


Jul 04, 2018
Duc Minh Nguyen, Evaggelia Tsiligianni, Robert Calderbank, Nikos Deligiannis

* 5 pages, Eusipco 2018 

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RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks


May 17, 2018
Xiuyuan Cheng, Qiang Qiu, Robert Calderbank, Guillermo Sapiro


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Rate-Distortion Bounds on Bayes Risk in Supervised Learning


Nov 17, 2017
Matthew Nokleby, Ahmad Beirami, Robert Calderbank

* Revised submission to IEEE Transactions on Information Theory 

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LDMNet: Low Dimensional Manifold Regularized Neural Networks


Nov 16, 2017
Wei Zhu, Qiang Qiu, Jiaji Huang, Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies


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