Research output per year
Research output per year
- 28 results
Search results
-
2025
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
Zhu, W., Liu, S., Fernandez-Granda, C. & Razavian, N., 2025, In: Transactions on Machine Learning Research. 2025Research output: Contribution to journal › Article › peer-review
-
Samudra: An AI Global Ocean Emulator for Climate
Dheeshjith, S., Subel, A., Adcroft, A., Busecke, J., Fernandez-Granda, C., Gupta, S. & Zanna, L., May 28 2025, In: Geophysical Research Letters. 52, 10, e2024GL114318.Research output: Contribution to journal › Article › peer-review
-
Visualizing nanoparticle surface dynamics and instabilities enabled by deep denoising
Crozier, P. A., Leibovich, M., Haluai, P., Tan, M., Thomas, A. M., Vincent, J., Mohan, S., Morales, A. M., Kulkarni, S. A., Matteson, D. S., Wang, Y. & Fernandez-Granda, C., Feb 28 2025, In: Science. 387, 6737, p. 949-954 6 p.Research output: Contribution to journal › Article › peer-review
-
2024
A Stable Implementation of a Data-Driven Scale-Aware Mesoscale Parameterization
Perezhogin, P., Zhang, C., Adcroft, A., Fernandez-Granda, C. & Zanna, L., Oct 2024, In: Journal of Advances in Modeling Earth Systems. 16, 10, e2023MS004104.Research output: Contribution to journal › Article › peer-review
Open Access -
Dictionary learning for integrative, multimodal and scalable single-cell analysis
Hao, Y., Stuart, T., Kowalski, M. H., Choudhary, S., Hoffman, P., Hartman, A., Srivastava, A., Molla, G., Madad, S., Fernandez-Granda, C. & Satija, R., Feb 2024, In: Nature Biotechnology. 42, 2, p. 293-304 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Quantifying impairment and disease severity using AI models trained on healthy subjects
Yu, B., Kaku, A., Liu, K., Parnandi, A., Fokas, E., Venkatesan, A., Pandit, N., Ranganath, R., Schambra, H. & Fernandez-Granda, C., Dec 2024, In: npj Digital Medicine. 7, 1, 180.Research output: Contribution to journal › Article › peer-review
Open Access -
Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model
Assländer, J., Gultekin, C., Mao, A., Zhang, X., Duchemin, Q., Liu, K., Charlson, R. W., Shepherd, T. M., Fernandez-Granda, C. & Flassbeck, S., Apr 2024, In: Magnetic resonance in medicine. 91, 4, p. 1478-1497 20 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse
Li, X., Liu, S., Zhou, J., Lu, X., Fernandez-Granda, C., Zhu, Z. & Qu, Q., 2024, In: Transactions on Machine Learning Research. 2024Research output: Contribution to journal › Article › peer-review
-
2023
Benchmarking of Machine Learning Ocean Subgrid Parameterizations in an Idealized Model
Ross, A., Li, Z., Perezhogin, P., Fernandez-Granda, C. & Zanna, L., Jan 2023, In: Journal of Advances in Modeling Earth Systems. 15, 1, e2022MS003258.Research output: Contribution to journal › Article › peer-review
Open Access -
Data-Driven Quantitation of Movement Abnormality after Stroke
Parnandi, A., Kaku, A., Venkatesan, A., Pandit, N., Fokas, E., Yu, B., Kim, G., Nilsen, D., Fernandez-Granda, C. & Schambra, H., Jun 2023, In: Bioengineering. 10, 6, 648.Research output: Contribution to journal › Article › peer-review
Open Access -
Generative Data-Driven Approaches for Stochastic Subgrid Parameterizations in an Idealized Ocean Model
Perezhogin, P., Zanna, L. & Fernandez-Granda, C., Oct 2023, In: Journal of Advances in Modeling Earth Systems. 15, 10, e2023MS003681.Research output: Contribution to journal › Article › peer-review
Open Access -
Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization Into a Numerical Ocean Circulation Model
Zhang, C., Perezhogin, P., Gultekin, C., Adcroft, A., Fernandez-Granda, C. & Zanna, L., Oct 2023, In: Journal of Advances in Modeling Earth Systems. 15, 10, e2023MS003697.Research output: Contribution to journal › Article › peer-review
Open Access -
2022
ADAPTIVE TEST ALLOCATION for OUTBREAK DETECTION and TRACKING in SOCIAL CONTACT NETWORKS
Batlle, P., Bruna, J., Fernandez-Granda, C. & Preciado, V. M., 2022, In: SIAM Journal on Control and Optimization. 60, 2, p. S274-S293Research output: Contribution to journal › Article › peer-review
Open Access -
ANALYSIS of TRANSFER LEARNING for SELECT RETINAL DISEASE CLASSIFICATION
Gelman, R. & Fernandez-Granda, C., Jan 1 2022, In: Retina. 42, 1, p. 174-183 10 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Cramér–Rao bound-informed training of neural networks for quantitative MRI
Zhang, X., Duchemin, Q., Liu*, K., Gultekin, C., Flassbeck, S., Fernandez-Granda, C. & Assländer, J., Jul 2022, In: Magnetic resonance in medicine. 88, 1, p. 436-448 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Denoising for Scientific Discovery: A Case Study in Electron Microscopy
Mohan, S., Manzorro, R., Vincent, J. L., Tang, B., Sheth, D. Y., Simoncelli, E. P., Matteson, D. S., Crozier, P. A. & Fernandez-Granda, C., 2022, In: IEEE Transactions on Computational Imaging. 8, p. 585-597 13 p.Research output: Contribution to journal › Article › peer-review
-
Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
Liu, S., Masurkar, A. V., Rusinek, H., Chen, J., Zhang, B., Zhu, W., Fernandez-Granda, C. & Razavian, N., Dec 2022, In: Scientific reports. 12, 1, 17106.Research output: Contribution to journal › Article › peer-review
Open Access -
PrimSeq: A deep learning-based pipeline to quantitate rehabilitation training
Parnandi, A., Kaku, A., Venkatesan, A., Pandit, N., Wirtanen, A., Rajamohan, H., Venkataramanan, K., Nilsen, D., Fernandez-Granda, C. & Schambra, H., Jun 2022, In: PLOS Digital Health. 1, 6 June, e0000044.Research output: Contribution to journal › Article › peer-review
Open Access -
2021
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
Shamout, F. E., Shen, Y., Wu, N., Kaku, A., Park, J., Makino, T., Jastrzębski, S., Witowski, J., Wang, D., Zhang, B., Dogra, S., Cao, M., Razavian, N., Kudlowitz, D., Azour, L., Moore, W., Lui, Y. W., Aphinyanaphongs, Y., Fernandez-Granda, C. & Geras, K. J., Dec 2021, In: npj Digital Medicine. 4, 1, 80.Research output: Contribution to journal › Article › peer-review
-
Developing and Evaluating Deep Neural Network-Based Denoising for Nanoparticle TEM Images with Ultra-Low Signal-to-Noise
Vincent, J. L., Manzorro, R., Mohan, S., Tang, B., Sheth, D. Y., Simoncelli, E. P., Matteson, D. S., Fernandez-Granda, C. & Crozier, P. A., Dec 17 2021, In: Microscopy and Microanalysis. 27, 6, p. 1431-1447 17 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2020
A sampling theorem for deconvolution in two dimensions
McDonald, J., Bernstein, B. & Fernandez-Granda, C., 2020, In: SIAM Journal on Imaging Sciences. 13, 4, p. 1754-1780 27 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Sparse Recovery beyond Compressed Sensing: Separable Nonlinear Inverse Problems
Bernstein, B., Liu, S., Papadaniil, C. & Fernandez-Granda, C., Sep 2020, In: IEEE Transactions on Information Theory. 66, 9, p. 5904-5926 23 p., 9052719.Research output: Contribution to journal › Article › peer-review
Open Access -
2019
Deconvolution of Point Sources: A Sampling Theorem and Robustness Guarantees
Bernstein, B. & Fernandez-Granda, C., Jun 2019, In: Communications on Pure and Applied Mathematics. 72, 6, p. 1152-1230 79 p.Research output: Contribution to journal › Article › peer-review
-
2018
Demixing sines and spikes: Robust spectral super-resolution in the presence of outliers
Fernandez-Granda, C., Tang, G., Wang, X. & Zheng, L., Mar 15 2018, In: Information and Inference. 7, 1, p. 105-168 64 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Multicompartment magnetic resonance fingerprinting
Tang, S., Fernandez-Granda, C., Lannuzel, S., Bernstein, B., Lattanzi, R., Cloos, M., Knoll, F. & Asslander, J., Jul 24 2018, In: Inverse Problems. 34, 9, 094005.Research output: Contribution to journal › Article › peer-review
Open Access -
2016
Super-resolution of point sources via convex programming
Fernandez-Granda, C., Sep 2016, In: Information and Inference. 5, 3, p. 251-303 53 p.Research output: Contribution to journal › Article › peer-review
Open Access -
2014
Towards a mathematical theory of super-resolution
Candès, E. J. & Fernandez-Granda, C., Jun 2014, In: Communications on Pure and Applied Mathematics. 67, 6, p. 906-956 51 p.Research output: Contribution to journal › Article › peer-review
-
2013
Super-Resolution from Noisy Data
Candès, E. J. & Fernandez-Granda, C., Dec 2013, In: Journal of Fourier Analysis and Applications. 19, 6, p. 1229-1254 26 p.Research output: Contribution to journal › Article › peer-review
Open Access