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Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training


Mar 01, 2021
Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu

* SL and XL contributed equally to this work; 23 pages, 6 figures, 6 tables 

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Developing a Deep Neural Network to Denoise Time-Resolved In Situ ETEM Movies of Catalyst Nanoparticles


Jan 19, 2021
Joshua L. Vincent, Ramon Manzorro, Sreyas Mohan, Binh Tang, Dev Y. Sheth, Eero P. Simoncelli, David S. Matteson, Carlos Fernandez-Granda, Peter A. Crozier


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Unsupervised Deep Video Denoising


Dec 01, 2020
Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda

* Dev and Sreyas contributed equally 

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Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy


Oct 24, 2020
Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda

* The dataset and the code used to train and evaluate and our models are available at https://sreyas-mohan.github.io/electron-microscopy-denoising/ 

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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department


Aug 04, 2020
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzębski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras


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Early-Learning Regularization Prevents Memorization of Noisy Labels


Jun 30, 2020
Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda


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Towards data-driven stroke rehabilitation via wearable sensors and deep learning


Apr 22, 2020
Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda


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Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization


Feb 25, 2020
Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi Schambra, Carlos Fernandez-Granda

* Aakash and Sreyas contributed equally 

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On the design of convolutional neural networks for automatic detection of Alzheimer's disease


Nov 12, 2019
Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian

* Proceedings of Machine Learning Research, 2019 
* Machine Learning for Health Workshop, NeurIPS2019. Authors Fernandez-Granda and Razavian are joint last authors 

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Robust and interpretable blind image denoising via bias-free convolutional neural networks


Jun 14, 2019
Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda


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Data-driven Estimation of Sinusoid Frequencies


Jun 03, 2019
Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda


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Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data


Apr 10, 2019
Sheng Liu, Mark Cheng, Hayley Brooks, Wayne Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda


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A Learning-Based Framework for Line-Spectra Super-resolution


Nov 14, 2018
Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda

* 5 pages, 2 figures 

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