Isabell M. Franck

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All published works

Action	Title	Year	Authors
+ PDF Chat	Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics	2016	Isabell M. Franck Phaedon‐Stelios Koutsourelakis
+ PDF Chat	Sparse Variational Bayesian approximations for nonlinear inverse problems: Applications in nonlinear elastography	2015	Isabell M. Franck Phaedon‐Stelios Koutsourelakis
+	Multimodal, high-dimensional, model-based, Bayesian inverse problems with applications in biomechanics	2015	Isabell M. Franck Phaedon‐Stelios Koutsourelakis
+	Variational Bayesian Formulations for High-Dimensional Inverse Problems	2015	Isabell M. Franck Phaedon‐Stelios Koutsourelakis
+	Sparse Variational Bayesian Approximations for Nonlinear Inverse Problems: applications in nonlinear elastography	2014	Isabell M. Franck Phaedon‐Stelios Koutsourelakis

Common Coauthors

Coauthor	Papers Together
Phaedon‐Stelios Koutsourelakis	5

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants	1998	Radford M. Neal Geoffrey E. Hinton	4
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	4
+	Hierarchical Bayesian models for inverse problems in heat conduction	2004	Jingbo Wang Nicholas Zabaras	4
+	Adjoint‐weighted variational formulation for the direct solution of inverse problems of general linear elasticity with full interior data	2009	Paul E. Barbone Carlos E. Rivas Isaac Harari Uri Albocher Assad A. Oberai Yixiao Zhang	4
+ PDF Chat	Free energy methods for Bayesian inference: efficient exploration of univariate Gaussian mixture posteriors	2011	Nicolás Chopin Tony Lelièvre Gabriel Stoltz	4
+ PDF Chat	A multi-resolution, non-parametric, Bayesian framework for identification of spatially-varying model parameters	2009	Phaedon‐Stelios Koutsourelakis	4
+ PDF Chat	A feasible method for optimization with orthogonality constraints	2012	Zaiwen Wen Wotao Yin	4
+ PDF Chat	A variational Bayesian method to inverse problems with impulsive noise	2011	Bangti Jin	4
+ PDF Chat	A novel Bayesian strategy for the identification of spatially varying material properties and model validation: an application to static elastography	2012	Phaedon‐Stelios Koutsourelakis	4
+ PDF Chat	Monte Carlo Statistical Methods	2000	Hoon Kim Christian P. Robert George Casella	3
+	Extreme-scale UQ for Bayesian inverse problems governed by PDEs	2012	Tan Bui‐Thanh Carsten Burstedde Omar Ghattas James L. Martin Georg Stadler Lucas C. Wilcox	3
+	Variational Bayesian Inference for a Nonlinear Forward Model	2008	Michael A. Chappell Adrian R. Groves Brandon Whitcher Mark W. Woolrich	3
+	On a Minimum Property of the Free Energy	1938	R. Peierls	3
+	Solution of inverse problems with limited forward solver evaluations: a Bayesian perspective	2013	Ilias Bilionis Nicholas Zabaras	3
+ PDF Chat	Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction	2016	Tiangang Cui Youssef Marzouk Karen Willcox	2
+	Fully Bayesian Reconstructions from Single-Photon Emission Computed Tomography Data	1997	Iain Weir	2
+ PDF Chat	Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems	1974	C. Antoniak	2
+	When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies	2014	Mark Strong Jeremy E. Oakley	2
+	Statistical inverse problems: Discretization, model reduction and inverse crimes	2006	Jari P. Kaipio Erkki Somersalo	2
+ PDF Chat	Bayesian inference with optimal maps	2012	Tarek Moselhy Youssef Marzouk	2
+	Nonlinear elastic model for image registration and soft tissue simulation based on piecewise St. Venant-Kirchhoff material approximation	2008	Evgeny Gladilin Roland Eils	2
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	2
+	Estimating Mixture of Dirichlet Process Models	1998	Steven N. MacEachern Peter Müller	2
+	Hypermodels in the Bayesian imaging framework	2008	Daniela Calvetti Erkki Somersalo	2
+	Two-Point Step Size Gradient Methods	1988	Jonathan Barzilai Jonathan M. Borwein	2
+ PDF Chat	Variational Bayesian Inference Techniques	2010	Matthias Seeger David Wipf	2
+	Dynamic Tempered Transitions for Exploring Multimodal Posterior Distributions	2004	Jeff Gill George Casella	2
+ PDF Chat	Bayesian Orthogonal Component Analysis for Sparse Representation	2010	Nicolas Dobigeon Jean–Yves Tourneret	2
+	Aspects of Multivariate Statistical Theory	1984	Leon Jay Gleser Robb J. Muirhead	2
+ PDF Chat	Likelihood-informed dimension reduction for nonlinear inverse problems	2014	Tiangang Cui J. L. Martín Youssef Marzouk A. Solonen Alessio Spantini	2
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	2
+ PDF Chat	Sequential Monte Carlo Samplers	2006	Pierre Del Moral Arnaud Doucet Ajay Jasra	2
+ PDF Chat	Gaussian Markov random field priors for inverse problems	2013	Johnathan M. Bardsley	2
+ PDF Chat	Sparse Variational Bayesian approximations for nonlinear inverse problems: Applications in nonlinear elastography	2015	Isabell M. Franck Phaedon‐Stelios Koutsourelakis	2
+ PDF Chat	Optimal Low-rank Approximations of Bayesian Linear Inverse Problems	2015	Alessio Spantini Antti Solonen Tiangang Cui James L. Martin Luis Tenorio Youssef Marzouk	2
+ PDF Chat	Bayesian computation: a summary of the current state, and samples backwards and forwards	2015	Peter J. Green Krzysztof Łatuszyński Marcelo Pereyra Christian P. Robert	2
+	None	2003	Daniela Calvetti Lothar Reichel	2
+	On adaptive resampling strategies for sequential Monte Carlo methods	2012	Pierre Del Moral Arnaud Doucet Ajay Jasra	1
+	None	2000	Michael B. Giles Niles A. Pierce	1
+	Statistical and Computational Inverse Problems	2005	Jari P. Kaipio Erkki Somersalo	1
+	Computational Methods for Inverse Problems	2002	Curtis R. Vogel	1
+	Expectation Propagation for approximate Bayesian inference	2013	Thomas P. Minka	1
+ PDF Chat	None	1998	David Mackay	1
+ PDF Chat	Diffusion limits of the random walk Metropolis algorithm in high dimensions	2012	Jonathan C. Mattingly Natesh S. Pillai Andrew M. Stuart	1
+ PDF Chat	Free energy computations by minimization of Kullback–Leibler divergence: An efficient adaptive biasing potential method for sparse representations	2012	Ilias Bilionis Phaedon‐Stelios Koutsourelakis	1
+ PDF Chat	Complexity analysis of accelerated MCMC methods for Bayesian inversion	2013	Viêt Hà Hòang Christoph Schwab Andrew M. Stuart	1
+ PDF Chat	Dimension-independent likelihood-informed MCMC	2015	Tiangang Cui Kody J. H. Law Youssef Marzouk	1
+ PDF Chat	A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems	2014	Noémi Petra James L. Martin Georg Stadler Omar Ghattas	1
+ PDF Chat	Solving large-scale PDE-constrained Bayesian inverse problems with Riemann manifold Hamiltonian Monte Carlo	2014	Tan Bui‐Thanh Mark Girolami	1
+ PDF Chat	Multimodal nested sampling: an efficient and robust alternative to Markov Chain Monte Carlo methods for astronomical data analyses	2008	F. Feroz Michael P. Hobson	1