Carlos Fernandez-Granda
Carlos Fernandez-Granda
Associate Professor, Courant Institute and Center for Data Science, New York University
Verified email at - Homepage
Cited by
Cited by
Towards a mathematical theory of super‐resolution
EJ Candès, C Fernandez‐Granda
Communications on pure and applied Mathematics 67 (6), 906-956, 2014
Super-resolution from noisy data
EJ Candès, C Fernandez-Granda
Journal of Fourier Analysis and Applications 19, 1229-1254, 2013
Early-learning regularization prevents memorization of noisy labels
S Liu, J Niles-Weed, N Razavian, C Fernandez-Granda
Proceedings of the 34th Conference on Neural Information Processing Systems …, 2020
Super-resolution of point sources via convex programming
C Fernandez-Granda
Information and Inference 5 (3), 251-303, 2016
Support detection in super-resolution
C Fernandez-Granda
Proceedings of the 10th International Conference on Sampling Theory and …, 2013
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
NPJ digital medicine 4 (1), 80, 2021
Robust and interpretable blind image denoising via bias-free convolutional neural networks
S Mohan, Z Kadkhodaie, EP Simoncelli, C Fernandez-Granda
Proceedings of the International Conference on Learning Representations (ICLR), 2019
Super-resolution via transform-invariant group-sparse regularization
C Fernandez-Granda, EJ Candes
Proceedings of the IEEE international conference on computer vision, 3336-3343, 2013
On the design of convolutional neural networks for automatic detection of Alzheimer's disease
S Liu, C Yadav, C Fernandez-Granda, N Razavian
Proceedings of Machine Learning Research, NeurIPS Machine Learning for …, 2019
Demixing sines and spikes: Robust spectral super-resolution in the presence of outliers
C Fernandez-Granda, G Tang, X Wang, L Zheng
Information and Inference: A Journal of the IMA 7 (1), 105-168, 2018
Multicompartment Magnetic Resonance Fingerprinting
S Tang, C Fernandez-Granda, S Lannuzel, B Bernstein, R Lattanzi, ...
Inverse Problems 34 (9), 2018
Data-driven Estimation of Sinusoid Frequencies
G Izacard, S Mohan, C Fernandez-Granda
Proceedings of the 33rd Conference on Neural Information Processing Systems …, 2019
Unsupervised deep video denoising
DY Sheth, S Mohan, JL Vincent, R Manzorro, PA Crozier, MM Khapra, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
A Learning-Based Framework for Line-Spectra Super-resolution
G Izacard, B Bernstein, C Fernandez-Granda
International Conference on Acoustics, Speech, and Signal Processing, 2019
Adaptive early-learning correction for segmentation from noisy annotations
S Liu, K Liu, W Zhu, Y Shen, C Fernandez-Granda
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Deep denoising for scientific discovery: A case study in electron microscopy
S Mohan, R Manzorro, JL Vincent, B Tang, DY Sheth, EP Simoncelli, ...
IEEE Transactions on Computational Imaging 8, 585-597, 2022
Deconvolution of point sources: a sampling theorem and robustness guarantees
B Bernstein, C Fernandez-Granda
Communications on Pure and Applied Mathematics 72 (6), 1152-1230, 2019
Adaptive denoising via gaintuning
S Mohan, JL Vincent, R Manzorro, P Crozier, C Fernandez-Granda, ...
Advances in neural information processing systems 34, 23727-23740, 2021
Dictionary learning for integrative, multimodal and scalable single-cell analysis
Y Hao, T Stuart, MH Kowalski, S Choudhary, P Hoffman, A Hartman, ...
Nature Biotechnology, 1-12, 2023
Convolutional normalization: Improving deep convolutional network robustness and training
S Liu, X Li, Y Zhai, C You, Z Zhu, C Fernandez-Granda, Q Qu
Advances in neural information processing systems 34, 28919-28928, 2021
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