Sascha Ranftl

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All published works

Action	Title	Year	Authors
+ PDF Chat	Geometric Uncertainty of Patient-Specific Blood Vessels and its Impact on Aortic Hemodynamics	2024	Domagoj Bošnjak Richard Schussnig Sascha Ranftl Gerhard A. Holzapfel Thomas‐Peter Fries
+ PDF Chat	Robust Bayesian target value optimization	2023	Johannes G. Hoffer Sascha Ranftl Bernhard C. Geiger
+	Robust Bayesian Target Value Optimization	2023	Johannes G. Hoffer Sascha Ranftl Bernhard C. Geiger
+	A Connection between Probability, Physics and Neural Networks	2022	Sascha Ranftl
+	Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder–decoder surrogate	2022	Sascha Ranftl Malte Rolf‐Pissarczyk Gloria Wolkerstorfer Antonio Pepe Jan Egger Wolfgang von der Linden Gerhard A. Holzapfel
+	Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate	2022	Sascha Ranftl Malte Rolf‐Pissarczyk Gloria Wolkerstorfer Antonio Pepe Jan Egger Wolfgang von der Linden Gerhard A. Holzapfel
+	A connection between probability, physics and neural networks	2022	Sascha Ranftl
+	Bayesian Surrogate Analysis and Uncertainty Propagation	2021	Sascha Ranftl Wolfgang von der Linden
+	Bayesian Surrogate Analysis and Uncertainty Propagation with Explicit Surrogate Uncertainties and Implicit Spatio-temporal Correlations	2021	Sascha Ranftl Wolfgang von der Linden
+	Bayesian Surrogate Analysis and Uncertainty Propagation	2021	Sascha Ranftl Wolfgang von der Linden
+	Bayesian Surrogate Analysis and Uncertainty Propagation	2021	Sascha Ranftl Wolfgang von der Linden
+ PDF Chat	Bayesian Analysis of Femtosecond Pump-Probe Photoelectron-Photoion Coincidence Spectra with Fluctuating Laser Intensities	2019	Pascal Heim Michael Rumetshofer Sascha Ranftl Bernhard Thaler Wolfgang Ernst Markus Koch Wolfgang von der Linden
+ PDF Chat	Femtosecond photoexcitation dynamics inside a quantum solvent	2018	Bernhard Thaler Sascha Ranftl Pascal Heim Stefan Cesnik Leonhard Treiber Ralf Meyer Andreas Hauser Wolfgang Ernst Markus Koch

Common Coauthors

Coauthor	Papers Together
Wolfgang von der Linden	7
Gerhard A. Holzapfel	3
Jan Egger	2
Johannes G. Hoffer	2
Antonio Pepe	2
Gloria Wolkerstorfer	2
Wolfgang Ernst	2
Bernhard Thaler	2
Malte Rolf‐Pissarczyk	2
Pascal Heim	2
Markus Koch	2
Bernhard C. Geiger	2
Andreas Hauser	1
Domagoj Bošnjak	1
Ralf Meyer	1
Richard Schussnig	1
Leonhard Treiber	1
Michael Rumetshofer	1
Thomas‐Peter Fries	1
Stefan Cesnik	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Coordinate transformation and Polynomial Chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function	2015	Ihab Sraj Olivier Le Maı̂tre Omar Knio Ibrahim Hoteit	3
+	Bayesian Surrogate Analysis and Uncertainty Propagation	2021	Sascha Ranftl Wolfgang von der Linden	3
+ PDF Chat	Limitations of polynomial chaos expansions in the Bayesian solution of inverse problems	2014	Fei Lu Matthias Morzfeld Xuemin Tu Alexandre J. Chorin	3
+ PDF Chat	Polynomial chaos expansions for dependent random variables	2019	John Jakeman Fabian Franzelin Akil Narayan Michael Eldred Dirk Plfüger	2
+	High-Order Collocation Methods for Differential Equations with Random Inputs	2005	Dongbin Xiu Jan S. Hesthaven	2
+ PDF Chat	A general framework for data-driven uncertainty quantification under complex input dependencies using vine copulas	2018	Emiliano Torre Stefano Marelli Paul Embrechts Bruno Sudret	2
+ PDF Chat	Photoionisaton of pure and doped helium nanodroplets	2014	M. Mudrich F. Stienkemeier	1
+ PDF Chat	Consistent application of maximum entropy to quantum Monte Carlo data	1996	Wolfgang von der Linden R. Preuss W. Hanke	1
+ PDF Chat	Nested sampling for general Bayesian computation	2006	John Skilling	1
+ PDF Chat	Freezing of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mmultiscripts><mml:mi mathvariant="normal">He</mml:mi><mml:mprescripts /><mml:none /><mml:mn>4</mml:mn></mml:mmultiscripts></mml:math>and its liquid-solid interface from density functional theory	2005	Francesco Ancilotto M. Barranco Frédéric Caupin R. Mayol M. Pí	1
+ PDF Chat	Linear Latent Force Models Using Gaussian Processes	2013	Mauricio A. Álvarez David Luengo Neil D. Lawrence	1
+	Statistical Challenges in Modern Astronomy	1992	Eric D. Feigelson G. Jogesh Babu	1
+	Preconditioned Krylov Subspace Methods for Sampling Multivariate Gaussian Distributions	2014	Edmond Chow Yousef Saad	1
+	A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning	2010	Eric Brochu Vlad M. Cora Nando de Freitas	1
+	A guide to uncertainty quantification and sensitivity analysis for cardiovascular applications	2015	Vinzenz Gregor Eck Wouter P. Donders Jacob Sturdy Jonathan Feinberg Tammo Delhaas Leif Rune Hellevik Wouter Huberts	1
+ PDF Chat	Bayesian inference in physics	2011	U. von Toussaint	1
+ PDF Chat	Structural and dynamical properties of superfluid helium: A density-functional approach	1995	F. Dalfovo A. Lastri L. Pricaupenko S. Stringari J. Treiner	1
+	Background estimation in experimental spectra	2000	R. Fischer K. M. Hanson V. Dose Wolfgang von der Linden	1
+ PDF Chat	Fast Sampling of Gaussian Markov Random Fields	2001	Håvard Rue	1
+ PDF Chat	Numerical Simulation of Non‐Gaussian Random Fields with Prescribed Marginal Distributions and Cross‐Correlation Structure. II. Multivariate Random Fields	2002	R. Vio P. Andreani Luis Tenorio W. Wamsteker	1
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	1
+ PDF Chat	The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation	2017	Simon Jégou Michal Drozdzal David Vázquez Adriana Romero Yoshua Bengio	1
+ PDF Chat	Machine learning of linear differential equations using Gaussian processes	2017	Maziar Raissi Paris Perdikaris George Em Karniadakis	1
+ PDF Chat	Deep learning for computational chemistry	2017	Garrett B. Goh Nathan O. Hodas Abhinav Vishnu	1
+ PDF Chat	Laser-Induced Rotation of Iodine Molecules in Helium Nanodroplets: Revivals and Breaking Free	2017	Benjamin Shepperson Anders A. Søndergaard Lars Christiansen Jan Kaczmarczyk Robert E. Zillich Mikhail Lemeshko Henrik Stapelfeldt	1
+ PDF Chat	Density functional theory of doped superfluid liquid helium and nanodroplets	2017	Francesco Ancilotto M. Barranco François Coppens Jussi Eloranta Nadine Halberstadt Alberto Hernando David Mateo M. Pí	1
+ PDF Chat	Analysis of femtosecond pump-probe photoelectron-photoion coincidence measurements applying Bayesian probability theory	2018	Michael Rumetshofer Pascal Heim Bernhard Thaler Wolfgang Ernst Markus Koch Wolfgang von der Linden	1
+	Deep Neural Networks as Gaussian Processes	2017	Jaehoon Lee Yasaman Bahri Roman Novak Samuel S. Schoenholz Jeffrey Pennington Jascha Sohl‐Dickstein	1
+ PDF Chat	Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification	2018	Yinhao Zhu Nicholas Zabaras	1
+	Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations	2018	Maziar Raissi	1
+ PDF Chat	Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification	2018	Rohit Tripathy Ilias Bilionis	1
+ PDF Chat	Bayesian Optimization with Expensive Integrands	2022	Saul Toscano-Palmerin Peter I. Frazier	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+	Adversarially Robust Optimization with Gaussian Processes	2018	Ilija Bogunovic Jonathan Scarlett Stefanie Jegelka Volkan Cevher	1
+ PDF Chat	Does non-stationary spatial data always require non-stationary random fields?	2015	Geir‐Arne Fuglstad Daniel Simpson Finn Lindgren Håvard Rue	1
+ PDF Chat	Geodesic Convolutional Neural Networks on Riemannian Manifolds	2015	Jonathan Masci Davide Boscaini Michael M. Bronstein Pierre Vandergheynst	1
+ PDF Chat	Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila	2019	Andrés F. López-Lopera Nicolas Durrande Mauricio A. Álvarez	1
+	Constrained Bayesian Optimization with Noisy Experiments	2018	Benjamin Letham Brian Karrer Guilherme Ottoni Eytan Bakshy	1
+ PDF Chat	POLYNOMIAL-CHAOS-BASED KRIGING	2015	Roland Schöbi Bruno Sudret Joe Wiart	1
+ PDF Chat	Exploring a New Class of Non-stationary Spatial Gaussian Random Fields with Varying Local Anisotropy	2014	Geir‐Arne Fuglstad Finn Lindgren Daniel Simpson Håvard Rue	1
+ PDF Chat	Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation	2020	Nima Tajbakhsh Laura Jeyaseelan Qian Li Jeffrey N. Chiang Zhihao Wu Xiaowei Ding	1
+ PDF Chat	Simulation of hyperelastic materials in real-time using deep learning	2019	Andrea Mendizábal Pablo Márquez-Neila Stéphane Cotin	1
+	Gaussian Processes for Data Fulfilling Linear Differential Equations	2019	Christopher G. Albert	1
+ PDF Chat	When Gaussian Process Meets Big Data: A Review of Scalable GPs	2020	Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai	1
+ PDF Chat	A review of deep learning with special emphasis on architectures, applications and recent trends	2020	Saptarshi Sengupta Sanchita Basak Pallabi Saikia Sayak Paul Vasilios Tsalavoutis Frederick Ditliac Atiah Vadlamani Ravi Alan Peters	1
+ PDF Chat	A survey on modern trainable activation functions	2021	Andrea Apicella Francesco Donnarumma Francesco Isgrò Roberto Prevete	1
+ PDF Chat	A SURVEY OF CONSTRAINED GAUSSIAN PROCESS REGRESSION: APPROACHES AND IMPLEMENTATION CHALLENGES	2020	Laura Swiler Mamikon Gulian Ari Frankel Cosmin Safta John Jakeman	1
+ PDF Chat	3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network	2018	Hongming Shan Yi Zhang Qingsong Yang Uwe Krüger Mannudeep K. Kalra Ling Sun Wenxiang Cong Ge Wang	1
+	PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain	2020	Han Gao Luning Sun Jianxun Wang	1
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	1