Towards a Mathematical Theory of Super-Resolution - Emmanuel J. Candès; Carlos Fernandez-Granda (CoRR, 2012)

Super-Resolution from Noisy Data - Emmanuel J. Candès; Carlos Fernandez-Granda (CoRR, 2012)

Super-resolution via Transform-Invariant Group-Sparse Regularization. - Carlos Fernandez-Granda; Emmanuel J. Candès (ICCV, 2013)

Support detection in super-resolution - Carlos Fernandez-Granda (CoRR, 2013)

Super-resolution of point sources via convex programming. - Carlos Fernandez-Granda (CAMSAP, 2015)

Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of Outliers. - Carlos Fernandez-Granda; Gongguo Tang; Xiaodong Wang 001; Le Zheng (CoRR, 2016)

Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees. - Brett Bernstein; Carlos Fernandez-Granda (CoRR, 2017)

Multicompartment Magnetic Resonance Fingerprinting. - Sunli Tang; Carlos Fernandez-Granda; Sylvain Lannuzel; Brett Bernstein; Riccardo Lattanzi; Martijn A. Cloos; Florian Knoll; Jakob Assländer (CoRR, 2018)

A Learning-based Framework for Line-spectra Super-resolution. - Gautier Izacard; Brett Bernstein; Carlos Fernandez-Granda (ICASSP, 2019)

Data-driven Estimation of Sinusoid Frequencies. - Gautier Izacard; Sreyas Mohan; Carlos Fernandez-Granda (NeurIPS, 2019)

On the design of convolutional neural networks for automatic detection of Alzheimer's disease. - Sheng Liu; Chhavi Yadav; Carlos Fernandez-Granda; Narges Razavian (ML4H@NeurIPS, 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)

Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. - Sreyas Mohan; Zahra Kadkhodaie; Eero P. Simoncelli; Carlos Fernandez-Granda (ICLR, 2020)

Towards data-driven stroke rehabilitation via wearable sensors and deep learning. - Aakash Kaku; Avinash Parnandi 001; Anita Venkatesan; Natasha Pandit; Heidi M. Schambra; Carlos Fernandez-Granda (MLHC, 2020)

Early-Learning Regularization Prevents Memorization of Noisy Labels. - Sheng Liu; Jonathan Niles-Weed; Narges Razavian; Carlos Fernandez-Granda (NeurIPS, 2020)

Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. - Aakash Kaku; Sreyas Mohan; Avinash Parnandi 001; Heidi M. Schambra; Carlos Fernandez-Granda (CoRR, 2020)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu 008; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; Narges Razavian; et al. (CoRR, 2020)

A Sampling Theorem for Deconvolution in Two Dimensions. - Joseph McDonald; Brett Bernstein; Carlos Fernandez-Granda (SIAM J. Imaging Sci., 2020)

Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems. - Brett Bernstein; Sheng Liu; Chrysa Papadaniil; Carlos Fernandez-Granda (IEEE Trans. Inf. Theory, 2020)

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 (ICCV, 2021)

Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. - Kangning Liu; Yiqiu Shen; Nan Wu 008; Jakub Piotr Chledowski; Carlos Fernandez-Granda; Krzysztof J. Geras (MIDL, 2021)

Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. - Sheng Liu; Xiao Li 026; Yuexiang Zhai; Chong You; Zhihui Zhu; Carlos Fernandez-Granda; Qing Qu 001 (NeurIPS, 2021)

Adaptive Denoising via GainTuning. - Sreyas Mohan; Joshua L. Vincent; Ramon Manzorro; Peter A. Crozier; Carlos Fernandez-Granda; Eero P. Simoncelli (NeurIPS, 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)

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. - Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Haresh Rengaraj Rajamohan; Kannan Venkataramanan; Anita Venkatesan; Audre Wirtanen; Natasha Pandit; Heidi M. Schambra; Carlos Fernandez-Granda (CoRR, 2021)

Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Laure Zanna; Narges Razavian; Carlos Fernandez-Granda (CoRR, 2021)

PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training. - Avinash Parnandi 001; Aakash Kaku; Anita Venkatesan; Natasha Pandit; Audre Wirtanen; Haresh Rengaraj Rajamohan; Kannan Venkataramanan; Dawn Nilsen; Carlos Fernandez-Granda; Heidi M. Schambra (CoRR, 2021)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu 008; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Jan Witowski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; et al. (npj Digit. Medicine, 2021)

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. - Sheng Liu; Kangning Liu; Weicheng Zhu; Yiqiu Shen; Carlos Fernandez-Granda (CVPR, 2022)

Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Haoxiang Huang; Laure Zanna; Narges Razavian; Jonathan Niles-Weed; Carlos Fernandez-Granda (ICML, 2022)

Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. - Weicheng Zhu; Carlos Fernandez-Granda; Narges Razavian (MIDL, 2022)

StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. - Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Haresh Rengaraj Rajamohan; Kannan Venkataramanan; Anita Venkatesan; Audre Wirtanen; Natasha Pandit; Heidi M. Schambra; Carlos Fernandez-Granda (NeurIPS, 2022)

Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. - Xiao Li 026; Sheng Liu; Jinxin Zhou; Xinyu Lu; Carlos Fernandez-Granda; Zhihui Zhu; Qing Qu 001 (CoRR, 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)

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)

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 (CVPR, 2023)

Avoiding spurious correlations via logit correction. - Sheng Liu; Xu Zhang; Nitesh Sekhar; Yue Wu; Prateek Singhal; Carlos Fernandez-Granda (ICLR, 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 (ICML, 2023)

Uncertainty-aware Fine-tuning of Segmentation Foundation Models. - Kangning Liu; Brian L. Price; Jason Kuen; Yifei Fan; Zijun Wei; Luis Figueroa; Krzysztof J. Geras; Carlos Fernandez-Granda (NeurIPS, 2024)

Understanding differences in applying DETR to natural and medical images. - Yanqi Xu; Yiqiu Shen; Carlos Fernandez-Granda; Laura Heacock; Krzysztof J. Geras (CoRR, 2024)

Multi-modal AI for comprehensive breast cancer prognostication. - Jan Witowski; Ken Zeng; Joseph Cappadona; Jailan Elayoubi; Elena Diana Chiru; Nancy Chan; Young-Joon Kang; Frederick Howard; Irina Ostrovnaya; Carlos Fernandez-Granda; Freya Schnabel; Ugur Ozerdem; et al. (CoRR, 2024)

A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction. - Qidong Yang; Weicheng Zhu; Joseph Keslin; Laure Zanna; Tim G. J. Rudner; Carlos Fernandez-Granda (CoRR, 2024)

Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space. - Jason Qin; Hans-Hermann Wessels; Carlos Fernandez-Granda; Yuhan Hao (CoRR, 2024)

Samudra: An AI Global Ocean Emulator for Climate. - Surya Dheeshjith; Adam Subel; Alistair Adcroft; Julius Busecke; Carlos Fernandez-Granda; Shubham Gupta; Laure Zanna (CoRR, 2024)

Quantifying impairment and disease severity using AI models trained on healthy subjects. - Boyang Yu 003; Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Emily Fokas; Anita Venkatesan; Natasha Pandit; Rajesh Ranganath; Heidi M. Schambra; Carlos Fernandez-Granda (npj Digit. Medicine, 2024)

Understanding and Improving Transfer Learning of Deep Models via Neural Collapse. - Xiao Li 026; Sheng Liu; Jinxin Zhou; Xinyu Lu; Carlos Fernandez-Granda; Zhihui Zhu; Qing Qu 001 (Trans. Mach. Learn. Res., 2024)

m2lines/L96_demo: v1.0.1. - Dhruv Balwada; Ryan Abernathey; Shantanu Acharya; Alistair Adcroft; Judith Brener; Venkatramani Balaji; Mohamed Aziz Bhouri; Joan Bruna; Mitch Bushuk; William Chapman; Alex Connolly; Julie Deshayes; et al. (Zenodo, 2024)

m2lines/L96_demo: Final version for JOSE. - Dhruv Balwada; Ryan Abernathey; Shantanu Acharya; Alistair Adcroft; Judith Brenner; Venkatramani Balaji; Mohamed Aziz Bhouri; Joan Bruna; Mitch Bushuk; William Chapman; Alex Connolly; Julie Deshayes; et al. (Zenodo, 2024)

m2lines/L96_demo: Final version for JOSE with DOIs. - Dhruv Balwada; Ryan Abernathey; Shantanu Acharya; Alistair Adcroft; Judith Brener; Venkatramani Balaji; Mohamed Aziz Bhouri; Joan Bruna; Mitch Bushuk; William Chapman; Alex Connolly; Julie Deshayes; et al. (Zenodo, 2024)

Learning Machine Learning with Lorenz-96. - Dhruv Balwada; Ryan Abernathey; Shantanu Acharya; Alistair Adcroft; Judith Brener; Venkatramani Balaji; Mohamed Aziz Bhouri; Joan Bruna; Mitch Bushuk; William Chapman; Alex Connolly; Julie Deshayes; et al. (Zenodo, 2024)

Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling. - Weicheng Zhu; Sheng Liu; Carlos Fernandez-Granda; Narges Razavian (Trans. Mach. Learn. Res., 2025)

Black Box Causal Inference: Effect Estimation via Meta Prediction. - Lucius E. J. Bynum; Aahlad Manas Puli; Diego Herrero-Quevedo; Nhi Nguyen; Carlos Fernandez-Granda; Kyunghyun Cho; Rajesh Ranganath (CoRR, 2025)

Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy. - Sreyas Mohan; Kangning Liu; Peter A. Crozier; Carlos Fernandez-Granda (IEEE Signal Process. Mag., 2025)

Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization. - Ebrahim Rasromani; Stella K. Kang; Yanqi Xu; Beisong Liu; Garvit Luhadia; Wan Fung Chui; Felicia L. Pasadyn; Yu Chih Hung; Julie Y. An; Edwin Mathieu; Zehui Gu; Carlos Fernandez-Granda; et al. (CoRR, 2025)

SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators. - James Duncan 002; Elynn Wu; Surya Dheeshjith; Adam Subel; Troy Arcomano; Spencer K. Clark; Brian Henn; Anna Kwa; Jeremy McGibbon; W. Andre Perkins; William Gregory; Carlos Fernandez-Granda; et al. (CoRR, 2025)