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ORCIDCarlos Fernandez-Granda
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2020 – today
- 2024
[j7]Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath
, Heidi M. Schambra, Carlos Fernandez-Granda:
Quantifying impairment and disease severity using AI models trained on healthy subjects. npj Digit. Medicine 7(1) (2024)- [j6]Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu:
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse. Trans. Mach. Learn. Res. 2024 (2024) - [i37]Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda, Laura Heacock, Krzysztof J. Geras:
Understanding differences in applying DETR to natural and medical images. CoRR abs/2405.17677 (2024) - 2023
- [c19]Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda:
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR 2023: 3355-3365 - [c18]Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda:
Avoiding spurious correlations via logit correction. ICLR 2023 - [c17]Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda:
Evaluating Unsupervised Denoising Requires Unsupervised Metrics. ICML 2023: 23937-23957 - [i36]Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda:
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects. CoRR abs/2311.12781 (2023) - [i35]Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian:
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling. CoRR abs/2311.16361 (2023) - 2022
- [j5]Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado:
Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks. SIAM J. Control. Optim. 60(2): S274-S293 (2022) - [j4]Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda:
Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. IEEE Trans. Computational Imaging 8: 585-597 (2022) - [c16]Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda:
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CVPR 2022: 2596-2606 - [c15]Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda:
Deep Probability Estimation. ICML 2022: 13746-13781 - [c14]Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian:
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. MIDL 2022: 1504-1522 - [c13]Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. NeurIPS 2022 - [i34]Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian:
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. CoRR abs/2203.12204 (2022) - [i33]Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda:
Evaluating Unsupervised Denoising Requires Unsupervised Metrics. CoRR abs/2210.05553 (2022) - [i32]Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda:
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR abs/2210.09452 (2022) - [i31]Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda:
Avoiding spurious correlations via logit correction. CoRR abs/2212.01433 (2022) - [i30]Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu:
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. CoRR abs/2212.12206 (2022) - 2021
- [j3]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:
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 4 (2021) - [c12]Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda:
Unsupervised Deep Video Denoising. ICCV 2021: 1739-1748 - [c11]Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras:
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. MIDL 2021: 451-472 - [c10]Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli:
Adaptive Denoising via GainTuning. NeurIPS 2021: 23727-23740 - [c9]Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu:
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. NeurIPS 2021: 28919-28928 - [i29]Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu:
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. CoRR abs/2103.00673 (2021) - [i28]Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras:
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. CoRR abs/2106.07049 (2021) - [i27]Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda:
Adaptive Denoising via GainTuning. CoRR abs/2107.12815 (2021) - [i26]Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer:
Cramér-Rao bound-informed training of neural networks for quantitative MRI. CoRR abs/2109.10535 (2021) - [i25]Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda:
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CoRR abs/2110.03740 (2021) - [i24]Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. CoRR abs/2111.02521 (2021) - [i23]Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda:
Deep Probability Estimation. CoRR abs/2111.10734 (2021) - [i22]Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra:
PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training. CoRR abs/2112.11330 (2021) - 2020
- [j2]Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda:
A Sampling Theorem for Deconvolution in Two Dimensions. SIAM J. Imaging Sci. 13(4): 1754-1780 (2020) - [j1]Brett Bernstein, Sheng Liu, Chrysa Papadaniil, Carlos Fernandez-Granda:
Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems. IEEE Trans. Inf. Theory 66(9): 5904-5926 (2020) - [c8]Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda:
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. ICLR 2020 - [c7]Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Towards data-driven stroke rehabilitation via wearable sensors and deep learning. MLHC 2020: 143-171 - [c6]Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda:
Early-Learning Regularization Prevents Memorization of Noisy Labels. NeurIPS 2020 - [i21]Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda:
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. CoRR abs/2002.04019 (2020) - [i20]Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda:
A Sampling Theorem for Deconvolution in Two Dimensions. CoRR abs/2003.13784 (2020) - [i19]Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Towards data-driven stroke rehabilitation via wearable sensors and deep learning. CoRR abs/2004.08297 (2020) - [i18]Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda:
Early-Learning Regularization Prevents Memorization of Noisy Labels. CoRR abs/2007.00151 (2020) - [i17]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:
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR abs/2008.01774 (2020) - [i16]Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda:
Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy. CoRR abs/2010.12970 (2020) - [i15]Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado:
Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks. CoRR abs/2011.01998 (2020) - [i14]Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda:
Unsupervised Deep Video Denoising. CoRR abs/2011.15045 (2020)
2010 – 2019
- 2019
- [c5]Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda:
A Learning-based Framework for Line-spectra Super-resolution. ICASSP 2019: 3632-3636 - [c4]Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian:
On the design of convolutional neural networks for automatic detection of Alzheimer's disease. ML4H@NeurIPS 2019: 184-201 - [c3]Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda:
Data-driven Estimation of Sinusoid Frequencies. NeurIPS 2019: 5128-5138 - [i13]Sheng Liu, Mark Cheng, Hayley Brooks, Wayne E. Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda:
Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data. CoRR abs/1904.04780 (2019) - [i12]Brett Bernstein, Sheng Liu, Chrysa Papadaniil, Carlos Fernandez-Granda:
Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems. CoRR abs/1905.04627 (2019) - [i11]Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda:
Data-driven Estimation of Sinusoid Frequencies. CoRR abs/1906.00823 (2019) - [i10]Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda:
Robust and interpretable blind image denoising via bias-free convolutional neural networks. CoRR abs/1906.05478 (2019) - [i9]Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian:
On the design of convolutional neural networks for automatic detection of Alzheimer's disease. CoRR abs/1911.03740 (2019) - 2018
- [i8]Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn A. Cloos, Florian Knoll, Jakob Assländer:
Multicompartment Magnetic Resonance Fingerprinting. CoRR abs/1802.10492 (2018) - [i7]Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda:
A Learning-Based Framework for Line-Spectra Super-resolution. CoRR abs/1811.05844 (2018) - 2017
- [i6]Brett Bernstein, Carlos Fernandez-Granda:
Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees. CoRR abs/1707.00808 (2017) - 2016
- [i5]Carlos Fernandez-Granda, Gongguo Tang, Xiaodong Wang, Le Zheng:
Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of Outliers. CoRR abs/1609.02247 (2016) - 2015
- [c2]Carlos Fernandez-Granda:
Super-resolution of point sources via convex programming. CAMSAP 2015: 41-44 - [i4]Carlos Fernandez-Granda:
Super-Resolution of Point Sources via Convex Programming. CoRR abs/1507.07034 (2015) - 2013
- [c1]Carlos Fernandez-Granda, Emmanuel J. Candès:
Super-resolution via Transform-Invariant Group-Sparse Regularization. ICCV 2013: 3336-3343 - [i3]Carlos Fernandez-Granda:
Support detection in super-resolution. CoRR abs/1302.3921 (2013) - 2012
- [i2]Emmanuel J. Candès, Carlos Fernandez-Granda:
Towards a Mathematical Theory of Super-Resolution. CoRR abs/1203.5871 (2012) - [i1]Emmanuel J. Candès, Carlos Fernandez-Granda:
Super-Resolution from Noisy Data. CoRR abs/1211.0290 (2012)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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