Selime Gürol - RankMe

16 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Spectral Preconditioner for the Conjugate Gradient Method with Iteration Budget. CoRR Youssef Diouane, Selime Gürol, Oussama Mouhtal, Dominique Orban
2025	J	`jnl`	An Introduction to Solving the Least-Squares Problem in Variational Data Assimilation. CoRR Ieva Dauzickaite, M. A. Freitag, Selime Gürol, Amos S. Lawless, A. Ramage, Jennifer A. Scott, Jemima M. Tabeart
2025	J	`jnl`	Block Alpha-Circulant Preconditioners for All-at-Once Diffusion-Based Covariance Operators. CoRR Jemima M. Tabeart, Selime Gürol, John W. Pearson, Anthony T. Weaver
2025	J	`jnl`	On the impact of observation error correlations in data assimilation, with application to along-track altimeter data. CoRR Olivier Goux, Anthony T. Weaver, Selime Gürol, Oliver Guillet, Andrea Piacentini
2024	J	`jnl`	A general error analysis for randomized low-rank approximation with application to data assimilation. CoRR Alexandre Scotto Di Perrotolo, Youssef Diouane, Selime Gürol, Xavier Vasseur
2024	J	`jnl`	An Efficient Scaled spectral preconditioner for sequences of symmetric positive definite linear systems. CoRR Youssef Diouane, Selime Gürol, Oussama Mouhtal, Dominique Orban
2024	J	`jnl`	Impact of correlated observation errors on the conditioning of variational data assimilation problems. Numer. Linear Algebra Appl. Olivier Goux, Selime Gürol, Anthony T. Weaver, Youssef Diouane, Oliver Guillet
2023	J	`jnl`	A filtered multilevel Monte Carlo method for estimating the expectation of discretized random fields. CoRR Jérémy Briant, Paul Mycek, Mayeul Destouches, Olivier Goux, Serge Gratton, Selime Gürol, Ehouarn Simon, Anthony T. Weaver
2022	J	`jnl`	A general error analysis for randomized low-rank approximation methods. CoRR Youssef Diouane, Selime Gürol, Alexandre Scotto Di Perrotolo, Xavier Vasseur
2022	J	`jnl`	Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation. CoRR Olivier Goux, Selime Gürol, Anthony T. Weaver, Oliver Guillet, Youssef Diouane
2021	J	`jnl`	Latent Space Data Assimilation by using Deep Learning. CoRR Mathis Peyron, Anthony Fillion, Selime Gürol, Victor Marchais, Serge Gratton, Pierre Boudier, Gaël Goret
2020	J	`jnl`	An Iterative Ensemble Kalman Smoother in Presence of Additive Model Error. SIAM/ASA J. Uncertain. Quantification Anthony Fillion, Marc Bocquet, Serge Gratton, Selime Gürol, Pavel Sakov
2020	J	`jnl`	DAN - An optimal Data Assimilation framework based on machine learning Recurrent Networks. CoRR Pierre Boudier, Anthony Fillion, Serge Gratton, Selime Gürol
2018	J	`jnl`	Low rank updates in preconditioning the saddle point systems arising from data assimilation problems. Optim. Methods Softw. Matthew C. Fisher, Serge Gratton, Selime Gürol, Yannick Trémolet, Xavier Vasseur
2013	J	`jnl`	Preconditioning and globalizing conjugate gradients in dual space for quadratically penalized nonlinear-least squares problems. Comput. Optim. Appl. Serge Gratton, Selime Gürol, Philippe L. Toint
2013	—	`—`	Résolution de problèmes des moindres carrés non-linéaires régularisés dans l'espace dual avec applications à l'assimilation de données. (Solving regularized nonlinear least-squares problem in dual space with application to variational data assimilation). Selime Gürol