Carlos Fernandez-Granda

76 papers A* 15Misc 1Journal 55Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Atomic Depth Estimation From Noisy Electron Microscopy Data Via Deep Learning. CoRR Matan Leibovich, Mai Tan, Ramon Manzorro, Adria Marcos-Morales, Sreyas Mohan, Peter A. Crozier, Carlos Fernandez-Granda
2025	A*	`conf`	Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations. ICML Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda, Yuhan Hao
2025	J	`jnl`	Black Box Causal Inference: Effect Estimation via Meta Prediction. CoRR Lucius E. J. Bynum, Aahlad Manas Puli, Diego Herrero-Quevedo, Nhi Nguyen, Carlos Fernandez-Granda, Kyunghyun Cho, Rajesh Ranganath
2025	J	`jnl`	Learn, Denoise, and Discover: A guide to deep denoising with an application to electron microscopy. IEEE Signal Process. Mag. Sreyas Mohan, Kangning Liu, Peter A. Crozier, Carlos Fernandez-Granda
2025	J	`jnl`	Leveraging Fine-Tuned Large Language Models for Interpretable Pancreatic Cystic Lesion Feature Extraction and Risk Categorization. CoRR 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, Ammar A. Javed, Greg D. Sacks, Tamas Gonda, Chenchan Huang, Yiqiu Shen
2025	J	`jnl`	Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling. Trans. Mach. Learn. Res. Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian
2025	J	`jnl`	SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators. CoRR James Duncan, 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, Julius Busecke, Oliver Watt-Meyer, William J. Hurlin, Alistair Adcroft, Laure Zanna, Christopher S. Bretherton
2025	J	`jnl`	The Potential and Limitations of Vision-Language Models for Human Motion Understanding: A Case Study in Data-Driven Stroke Rehabilitation. CoRR Victor Li, Naveenraj Kamalakannan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda
2024	J	`jnl`	A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction. CoRR Qidong Yang, Weicheng Zhu, Joseph Keslin, Laure Zanna, Tim G. J. Rudner, Carlos Fernandez-Granda
2024	J	`jnl`	Active learning for efficient discovery of optimal gene combinations in the combinatorial perturbation space. CoRR Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda, Yuhan Hao
2024	J	`jnl`	Multi-modal AI for comprehensive breast cancer prognostication. CoRR 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, Kangning Liu, Zoe Steinsnyder, Nitya Thakore, Mohammad Sadic, Frank Yeung, Elisa Liu, Theodore Hill, Benjamin Swett, Danielle Rigau, Andrew Clayburn, Valerie Speirs, Marcus Vetter, Lina Sojak, Simone Muenst Soysal, Daniel Baumhoer, Khalil Choucair, Yu Zong, Lina Daoud, Anas Saad, Waleed Abdulsattar, Rafic Beydoun, Jia-Wern Pan, Haslina Makmur, Soo-Hwang Teo, Linda Ma Pak, Victor Angel, Dovile Zilenaite-Petrulaitiene, Arvydas Laurinavicius, Natalie Klar, Brian Piening, Carlo Bifulco, Sun-Young Jun, Jae Pak Yi, Su Hyun Lim, Adam Brufsky, Francisco J. Esteva, Lajos Pusztai, Yann LeCun, Krzysztof J. Geras
2024	J	`jnl`	Quantifying impairment and disease severity using AI models trained on healthy subjects. npj Digit. Medicine Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda
2024	J	`jnl`	Samudra: An AI Global Ocean Emulator for Climate. CoRR Surya Dheeshjith, Adam Subel, Alistair Adcroft, Julius Busecke, Carlos Fernandez-Granda, Shubham Gupta, Laure Zanna
2024	A*	`conf`	Uncertainty-aware Fine-tuning of Segmentation Foundation Models. NeurIPS Kangning Liu, Brian L. Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda
2024	J	`jnl`	Understanding and Improving Transfer Learning of Deep Models via Neural Collapse. Trans. Mach. Learn. Res. Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu
2024	J	`jnl`	Understanding differences in applying DETR to natural and medical images. CoRR Yanqi Xu, Yiqiu Shen, Carlos Fernandez-Granda, Laura Heacock, Krzysztof J. Geras
2023	A*	`conf`	Avoiding spurious correlations via logit correction. ICLR Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda
2023	A*	`conf`	Evaluating Unsupervised Denoising Requires Unsupervised Metrics. ICML Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda
2023	J	`jnl`	Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling. CoRR Weicheng Zhu, Sheng Liu, Carlos Fernandez-Granda, Narges Razavian
2023	A*	`conf`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CVPR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2023	J	`jnl`	Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects. CoRR Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda
2022	A*	`conf`	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CVPR Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
2022	J	`jnl`	Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks. SIAM J. Control. Optim. Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado
2022	J	`jnl`	Avoiding spurious correlations via logit correction. CoRR Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda
2022	J	`jnl`	Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy. IEEE Trans. Computational Imaging Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
2022	A*	`conf`	Deep Probability Estimation. ICML Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda
2022	J	`jnl`	Evaluating Unsupervised Denoising Requires Unsupervised Metrics. CoRR Adria Marcos-Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter A. Crozier, Carlos Fernandez-Granda
2022	—	`conf`	Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. MIDL Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
2022	J	`jnl`	Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning. CoRR Weicheng Zhu, Carlos Fernandez-Granda, Narges Razavian
2022	J	`jnl`	Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning. CoRR Kangning Liu, Weicheng Zhu, Yiqiu Shen, Sheng Liu, Narges Razavian, Krzysztof J. Geras, Carlos Fernandez-Granda
2022	J	`jnl`	Principled and Efficient Transfer Learning of Deep Models via Neural Collapse. CoRR Xiao Li, Sheng Liu, Jinxin Zhou, Xinyu Lu, Carlos Fernandez-Granda, Zhihui Zhu, Qing Qu
2022	A*	`conf`	StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. NeurIPS Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2021	A*	`conf`	Adaptive Denoising via GainTuning. NeurIPS Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Carlos Fernandez-Granda, Eero P. Simoncelli
2021	J	`jnl`	Adaptive Denoising via GainTuning. CoRR Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Eero P. Simoncelli, Carlos Fernandez-Granda
2021	J	`jnl`	Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. CoRR Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda
2021	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 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
2021	A*	`conf`	Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. NeurIPS Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
2021	J	`jnl`	Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training. CoRR Sheng Liu, Xiao Li, Yuexiang Zhai, Chong You, Zhihui Zhu, Carlos Fernandez-Granda, Qing Qu
2021	J	`jnl`	Cramér-Rao bound-informed training of neural networks for quantitative MRI. CoRR Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer
2021	J	`jnl`	Deep Probability Estimation. CoRR Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda
2021	J	`jnl`	PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training. CoRR Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra
2021	J	`jnl`	Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. CoRR Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2021	A*	`conf`	Unsupervised Deep Video Denoising. ICCV Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
2021	—	`conf`	Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. MIDL Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Piotr Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
2021	J	`jnl`	Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis. CoRR Kangning Liu, Yiqiu Shen, Nan Wu, Jakub Chledowski, Carlos Fernandez-Granda, Krzysztof J. Geras
2020	J	`jnl`	A Sampling Theorem for Deconvolution in Two Dimensions. CoRR Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda
2020	J	`jnl`	A Sampling Theorem for Deconvolution in Two Dimensions. SIAM J. Imaging Sci. Joseph McDonald, Brett Bernstein, Carlos Fernandez-Granda
2020	J	`jnl`	Adaptive Test Allocation for Outbreak Detection and Tracking in Social Contact Networks. CoRR Pau Batlle, Joan Bruna, Carlos Fernandez-Granda, Victor M. Preciado
2020	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR 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
2020	J	`jnl`	Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. CoRR Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda
2020	J	`jnl`	Deep Denoising For Scientific Discovery: A Case Study In Electron Microscopy. CoRR Sreyas Mohan, Ramon Manzorro, Joshua L. Vincent, Binh Tang, Dev Yashpal Sheth, Eero P. Simoncelli, David S. Matteson, Peter A. Crozier, Carlos Fernandez-Granda
2020	A*	`conf`	Early-Learning Regularization Prevents Memorization of Noisy Labels. NeurIPS Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda
2020	J	`jnl`	Early-Learning Regularization Prevents Memorization of Noisy Labels. CoRR Sheng Liu, Jonathan Niles-Weed, Narges Razavian, Carlos Fernandez-Granda
2020	A*	`conf`	Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks. ICLR Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
2020	J	`jnl`	Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems. IEEE Trans. Inf. Theory Brett Bernstein, Sheng Liu, Chrysa Papadaniil, Carlos Fernandez-Granda
2020	—	`conf`	Towards data-driven stroke rehabilitation via wearable sensors and deep learning. MLHC Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2020	J	`jnl`	Towards data-driven stroke rehabilitation via wearable sensors and deep learning. CoRR Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2020	J	`jnl`	Unsupervised Deep Video Denoising. CoRR Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda
2019	Misc	`conf`	A Learning-based Framework for Line-spectra Super-resolution. ICASSP Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda
2019	A*	`conf`	Data-driven Estimation of Sinusoid Frequencies. NeurIPS Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
2019	J	`jnl`	Data-driven Estimation of Sinusoid Frequencies. CoRR Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda
2019	—	`conf`	On the design of convolutional neural networks for automatic detection of Alzheimer's disease. ML4H@NeurIPS Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian
2019	J	`jnl`	On the design of convolutional neural networks for automatic detection of Alzheimer's disease. CoRR Sheng Liu, Chhavi Yadav, Carlos Fernandez-Granda, Narges Razavian
2019	J	`jnl`	Robust and interpretable blind image denoising via bias-free convolutional neural networks. CoRR Sreyas Mohan, Zahra Kadkhodaie, Eero P. Simoncelli, Carlos Fernandez-Granda
2019	J	`jnl`	Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems. CoRR Brett Bernstein, Sheng Liu, Chrysa Papadaniil, Carlos Fernandez-Granda
2019	J	`jnl`	Time-Series Analysis via Low-Rank Matrix Factorization Applied to Infant-Sleep Data. CoRR Sheng Liu, Mark Cheng, Hayley Brooks, Wayne E. Mackey, David J. Heeger, Esteban G. Tabak, Carlos Fernandez-Granda
2018	J	`jnl`	A Learning-Based Framework for Line-Spectra Super-resolution. CoRR Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda
2018	J	`jnl`	Multicompartment Magnetic Resonance Fingerprinting. CoRR Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn A. Cloos, Florian Knoll, Jakob Assländer
2017	J	`jnl`	Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees. CoRR Brett Bernstein, Carlos Fernandez-Granda
2016	J	`jnl`	Demixing Sines and Spikes: Robust Spectral Super-resolution in the Presence of Outliers. CoRR Carlos Fernandez-Granda, Gongguo Tang, Xiaodong Wang, Le Zheng
2015	J	`jnl`	Super-Resolution of Point Sources via Convex Programming. CoRR Carlos Fernandez-Granda
2015	—	`conf`	Super-resolution of point sources via convex programming. CAMSAP Carlos Fernandez-Granda
2013	A*	`conf`	Super-resolution via Transform-Invariant Group-Sparse Regularization. ICCV Carlos Fernandez-Granda, Emmanuel J. Candès
2013	J	`jnl`	Support detection in super-resolution CoRR Carlos Fernandez-Granda
2012	J	`jnl`	Super-Resolution from Noisy Data CoRR Emmanuel J. Candès, Carlos Fernandez-Granda
2012	J	`jnl`	Towards a Mathematical Theory of Super-Resolution CoRR Emmanuel J. Candès, Carlos Fernandez-Granda