Carlos Fernandez-Granda

According to our database, Carlos Fernandez-Granda authored at least 40 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling.

Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian

CoRR, 2023

Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects.

Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda

CoRR, 2023

Evaluating Unsupervised Denoising Requires Unsupervised Metrics.

Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda

Proceedings of the International Conference on Machine Learning, 2023

Avoiding spurious correlations via logit correction.

Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning.

Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy.

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

IEEE Trans. Computational Imaging, 2022

Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks.

Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado

SIAM J. Control. Optim., 2022

Principled and Efficient Transfer Learning of Deep Models via Neural Collapse.

Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu

CoRR, 2022

StrokeRehab: A Benchmark Dataset for Sub-second Action Identification.

Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning.

Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Deep Probability Estimation.

Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda

Proceedings of the International Conference on Machine Learning, 2022

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations.

Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, 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

npj Digit. Medicine, 2021

PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training.

Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra

CoRR, 2021

Deep Probability Estimation.

Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda

CoRR, 2021

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution.

Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda

CoRR, 2021

Cramér-Rao bound-informed training of neural networks for quantitative MRI.

Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer

CoRR, 2021

Adaptive Denoising via GainTuning.

Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis.

Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Unsupervised Deep Video Denoising.

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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems.

Brett Bernstein, Sheng Liu, Chrysa Papadaniil, Carlos Fernandez-Granda

IEEE Trans. Inf. Theory, 2020

A Sampling Theorem for Deconvolution in Two Dimensions.

Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda

SIAM J. Imaging Sci., 2020

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

Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, 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

CoRR, 2020

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

Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda

CoRR, 2020

Early-Learning Regularization Prevents Memorization of Noisy Labels.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda

Proceedings of the Machine Learning for Healthcare Conference, 2020

Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks.

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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

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

CoRR, 2019

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

Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian

Proceedings of the Machine Learning for Health Workshop, 2019

Data-driven Estimation of Sinusoid Frequencies.

Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Learning-based Framework for Line-spectra Super-resolution.

Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Multicompartment Magnetic Resonance Fingerprinting.

Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn A. Cloos, Florian Knoll, Jakob Assländer

CoRR, 2018

2017

Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees.

Brett Bernstein, Carlos Fernandez-Granda

CoRR, 2017

2016

Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of Outliers.

Carlos Fernandez-Granda, Gongguo Tang, Xiaodong Wang, Le Zheng

CoRR, 2016

2015

Super-resolution of point sources via convex programming.

Carlos Fernandez-Granda

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2013

Support detection in super-resolution

Carlos Fernandez-Granda

CoRR, 2013

Super-resolution via Transform-Invariant Group-Sparse Regularization.

Carlos Fernandez-Granda, Emmanuel J. Candès

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Super-Resolution from Noisy Data

Emmanuel J. Candès, Carlos Fernandez-Granda

CoRR, 2012

Towards a Mathematical Theory of Super-Resolution

Emmanuel J. Candès, Carlos Fernandez-Granda

CoRR, 2012