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Carlos 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 2024-08-23 18:34 CEST by the dblp team
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