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Theresa Scarnati
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2020 – today
- 2022
- [j5]Jiahui Zhang, Anne Gelb
, Theresa Scarnati:
Empirical Bayesian Inference Using a Support Informed Prior. SIAM/ASA J. Uncertain. Quantification 10(2): 745-774 (2022) - 2021
- [i4]Jiahui Zhang, Anne Gelb, Theresa Scarnati:
Empirical Bayesian Inference using Joint Sparsity. CoRR abs/2103.15618 (2021) - [i3]Nick Lorenzo, Sean O'Rourke, Theresa Scarnati:
Covariance-Generalized Matching Component Analysis for Data Fusion and Transfer Learning. CoRR abs/2110.13194 (2021) - 2020
- [j4]Charles Clum, Dustin G. Mixon
, Theresa Scarnati:
Matching Component Analysis for Transfer Learning. SIAM J. Math. Data Sci. 2(2): 309-334 (2020)
2010 – 2019
- 2019
- [j3]Anne Gelb
, Theresa Scarnati:
Reducing Effects of Bad Data Using Variance Based Joint Sparsity Recovery. J. Sci. Comput. 78(1): 94-120 (2019) - [i2]Charles Clum, Dustin G. Mixon, Theresa Scarnati:
Matching Component Analysis for Transfer Learning. CoRR abs/1909.01797 (2019) - [i1]Theresa Scarnati, Anne Gelb:
Accelerated Variance Based Joint Sparsity Recovery of Images from Fourier Data. CoRR abs/1910.08391 (2019) - 2018
- [j2]Theresa Scarnati, Anne Gelb
:
Joint image formation and two-dimensional autofocusing for synthetic aperture radar data. J. Comput. Phys. 374: 803-821 (2018) - [j1]Theresa Scarnati, Anne Gelb
, Rodrigo B. Platte:
Using ℓ1 Regularization to Improve Numerical Partial Differential Equation Solvers. J. Sci. Comput. 75(1): 225-252 (2018)
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