Year |
Citation |
Score |
2020 |
Chung J, Chung M, Tanner Slagel J, Tenorio L. Sampled limited memory methods for massive linear inverse problems Inverse Problems. 36: 054001. DOI: 10.1088/1361-6420/Ab77Da |
0.326 |
|
2019 |
Slagel JT, Chung J, Chung M, Kozak D, Tenorio L. Sampled Tikhonov regularization for large linear inverse problems Inverse Problems. 35: 114008. DOI: 10.1088/1361-6420/Ab2787 |
0.368 |
|
2017 |
Spantini A, Cui T, Willcox K, Tenorio L, Marzouk Y. Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems Siam Journal On Scientific Computing. 39: S167-S196. DOI: 10.1137/16M1082123 |
0.417 |
|
2016 |
Garg VV, Tenorio L, Willcox K. Minimum local distance density estimation Communications in Statistics - Theory and Methods. 46: 148-164. DOI: 10.1080/03610926.2014.988260 |
0.329 |
|
2015 |
Ball V, Tenorio L, Schiott C, Blangy JP, Thomas M. Uncertainty in inverted elastic properties resulting from uncertainty in the low-frequency model Leading Edge. 34: 1028-1035. DOI: 10.1190/Tle34091028.1 |
0.323 |
|
2015 |
Spantini A, Solonen A, Cui T, Martin J, Tenorio L, Marzouk Y. Optimal low-rank approximations of Bayesian linear inverse problems Siam Journal On Scientific Computing. 37: A2451-A2487. DOI: 10.1137/140977308 |
0.447 |
|
2015 |
Aguilar O, Allmaras M, Bangerth W, Tenorio L. Statistics of parameter estimates: A concrete example Siam Review. 57: 131-149. DOI: 10.1137/130929230 |
0.375 |
|
2015 |
Zaharatos BR, Campanelli M, Tenorio L. On the estimability of the PV single-diode model parameters Statistical Analysis and Data Mining. 8: 329-339. DOI: 10.1002/Sam.11286 |
0.313 |
|
2013 |
Fournier A, Mosegaard K, Omre H, Sambridge M, Tenorio L. Assessing uncertainty in geophysical problems - introduction Geophysics. 78. DOI: 10.1190/Geo2013-0425-Spsein.1 |
0.377 |
|
2013 |
Tenorio L, Lucero C, Ball V, Horesh L. Experimental design in the context of Tikhonov regularized inverse problems Statistical Modelling. 13: 481-507. DOI: 10.1177/1471082X13494613 |
0.623 |
|
2012 |
Haber E, Magnant Z, Lucero C, Tenorio L. Numerical methods for A-optimal designs with a sparsity constraint for ill-posed inverse problems Computational Optimization and Applications. 52: 293-314. DOI: 10.1007/S10589-011-9404-4 |
0.62 |
|
2011 |
Tenorio L, Andersson F, De Hoop M, Ma P. Data analysis tools for uncertainty quantification of inverse problems Inverse Problems. 27. DOI: 10.1088/0266-5611/27/4/045001 |
0.413 |
|
2010 |
Haber E, Horesh L, Tenorio L. Numerical methods for the design of large-scale nonlinear discrete ill-posed inverse problems Inverse Problems. 26. DOI: 10.1088/0266-5611/26/2/025002 |
0.481 |
|
2008 |
Haber E, Horesh L, Tenorio L. Numerical methods for experimental design of large-scale linear ill-posed inverse problems Inverse Problems. 24. DOI: 10.1088/0266-5611/24/5/055012 |
0.482 |
|
2008 |
Tenorio L, Haber E, Symes WW, Stark PB, Cox D, Ghattas O. Guest Editors' introduction to the special section on statistical and computational issues in inverse problems Inverse Problems. 24. DOI: 10.1088/0266-5611/24/3/034001 |
0.418 |
|
2007 |
Tenorio L, Fleck A, Moses K. Confidence intervals for linear discrete inverse problems with a non-negativity constraint Inverse Problems. 23: 669-681. DOI: 10.1088/0266-5611/23/2/012 |
0.411 |
|
2007 |
Ma P, Wang P, Tenorio L, de Hoop MV, van der Hilst RD. Imaging of structure at and near the core-mantle boundary using a generalized radon transform: 2. Statistical inference of singularities Journal of Geophysical Research: Solid Earth. 112. DOI: 10.1029/2006Jb004513 |
0.335 |
|
2006 |
Wang P, de Hoop MV, van der Hilst RD, Ma P, Tenorio L. Imaging of structure at and near the core mantle boundary using a generalized radon transform: 1. Construction of image gathers Journal of Geophysical Research: Solid Earth. 111. DOI: 10.1029/2005Jb004241 |
0.329 |
|
2005 |
Sánchez V, Young TK, Tenorio L. Is It a Statistically Significant Anomaly Seg Technical Program Expanded Abstracts. DOI: 10.1190/1.2148226 |
0.317 |
|
2004 |
de Oliveira Lyrio JCS, Tenorio L, Li Y. Efficient automatic denoising of gravity gradiometry data Geophysics. 69: 772-782. DOI: 10.1190/1.1759463 |
0.322 |
|
2004 |
Vio R, Ma P, Zhong W, Nagy J, Tenorio L, Wamsteker W. Estimation of regularization parameters in multiple-image deblurring Astronomy and Astrophysics. 423: 1179-1186. DOI: 10.1051/0004-6361:20047113 |
0.39 |
|
2004 |
Vio R, Nagy J, Tenorio L, Wamsteker W. A simple but efficient algorithm for multiple-image deblurring Astronomy and Astrophysics. 416: 403-410. DOI: 10.1051/0004-6361:20034288 |
0.393 |
|
2003 |
Haber E, Tenorio L. Learning regularization functionals - A supervised training approach Inverse Problems. 19: 611-626. DOI: 10.1088/0266-5611/19/3/309 |
0.418 |
|
2003 |
Vio R, Nagy JG, Tenorio L, Andreani P, Baccigalupi C, Wamsteker W. Digital deblurring of CMB maps II. Asymmetric point spread function Astronomy and Astrophysics. 408: 835-843. DOI: 10.1051/0004-6361:20031108 |
0.34 |
|
2003 |
Vio R, Nagy JG, Tenorio L, Andreani P, Baccigalupi C, Wamsteker W. Digital deblurring of CMB maps: Performance and efficient implementation Astronomy and Astrophysics. 401: 389-404. DOI: 10.1051/0004-6361:20030099 |
0.343 |
|
2002 |
Vio R, Tenorio L, Wamsteker W. On optimal detection of point sources in CMB maps Astronomy and Astrophysics. 391: 789-794. DOI: 10.1051/0004-6361:20020821 |
0.324 |
|
2002 |
Van Wijk K, Scales JA, Navidi W, Tenorio L. Data and model uncertainty estimation for linear inversion Geophysical Journal International. 149: 625-632. DOI: 10.1046/J.1365-246X.2002.01660.X |
0.406 |
|
2001 |
Tenorio L. Modeling non‐Gaussian reflectivities: Generalizing Wiener‐Levinson deconvolution Geophysics. 66: 1913-1920. DOI: 10.1190/1.1487133 |
0.301 |
|
2001 |
Scales JA, Tenorio L. Prior information and uncertainty in inverse problems Geophysics. 66: 389-397. DOI: 10.1190/1.1444930 |
0.387 |
|
2001 |
Tenorio L. Statistical regularization of inverse problems Siam Review. 43: 347-366. DOI: 10.1137/S0036144500358232 |
0.411 |
|
1999 |
Tenorio L, Stark PB, Lineweaver CH. Bigger uncertainties and the Big Bang Inverse Problems. 15: 329-341. DOI: 10.1088/0266-5611/15/1/029 |
0.386 |
|
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