Stefan Posch

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All published works

Action	Title	Year	Authors
+ PDF Chat	Approximating Families of Sharp Solutions to Fisher's Equation with Physics-Informed Neural Networks	2024	Franz M. Rohrhofer Stefan Posch Clemens Gößnitzer Bernhard C. Geiger
+ PDF Chat	UWBCarGraz Dataset for Car Occupancy Detection Using Ultra-Wideband Radar	2024	Jakob Möderl Stefan Posch Franz Pernkopf Klaus Witrisal
+ PDF Chat	Approximating Families of Sharp Solutions to Fisher's Equation with Physics-Informed Neural Networks	2024	Franz M. Rohrhofer Stefan Posch Clemens Gößnitzer Bernhard C. Geiger
+ PDF Chat	Data vs. Physics: The Apparent Pareto Front of Physics-Informed Neural Networks	2023	Franz M. Rohrhofer Stefan Posch Clemens Gößnitzer Bernhard C. Geiger
+	Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes	2023	Franz M. Rohrhofer Stefan Posch Clemens Gößnitzer José M García-Oliver Bernhard C. Geiger
+	Finding the Optimum Design of Large Gas Engines Prechambers Using CFD and Bayesian Optimization	2023	Stefan Posch Clemens Gößnitzer Franz M. Rohrhofer Bernhard C. Geiger Andreas Wimmer
+	"UWBCarGraz" Dataset for Car Occupancy Detection using Ultra-Wideband Radar	2023	Jakob Möderl Stefan Posch Franz Pernkopf Klaus Witrisal
+ PDF Chat	Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1-D Convolutional Neural Network Approach	2022	Andreas B. Ofner Achilles Kefalas Stefan Posch Bernhard C. Geiger
+ PDF Chat	Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach	2022	Andreas B. Ofner Achilles Kefalas Stefan Posch Bernhard C. Geiger
+	On the Role of Fixed Points of Dynamical Systems in Training Physics-Informed Neural Networks	2022	Franz M. Rohrhofer Stefan Posch Clemens Gößnitzer Bernhard C. Geiger
+	On the Pareto Front of Physics-Informed Neural Networks	2021	Franz M. Rohrhofer Stefan Posch Bernhard C. Geiger
+	Supervised Penalized Canonical Correlation Analysis	2014	Andrea Thum Lore Westphal Sabine Rosahl Stefan Posch
+	Using Markov random fields for contour-based grouping	2002	Anke Maßmann Stefan Posch Gerhard Sagerer Daniel Schlüter
+	Stereozuordnung von hierarchischen Konturgruppen mot Markov Random Fields	2000	Denis Williams Stefan Posch

Common Coauthors

Coauthor	Papers Together
Bernhard C. Geiger	9
Franz M. Rohrhofer	7
Clemens Gößnitzer	6
Jakob Möderl	2
Klaus Witrisal	2
Andreas B. Ofner	2
Achilles Kefalas	2
Franz Pernkopf	2
Andreas Wimmer	1
Andrea Thum	1
Sabine Rosahl	1
José M García-Oliver	1
Lore Westphal	1
Denis Williams	1
Anke Maßmann	1
Daniel Schlüter	1
Gerhard Sagerer	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	NSFnets (Navier-Stokes flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations	2020	Xiaowei Jin Shengze Cai Hui Li George Em Karniadakis	2
+ PDF Chat	Generative Adversarial Networks	2022	Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio	1
+	A B‐spline algorithm for the numerical solution of Fisher's equation	2008	Ali Şahin İdris Dağ Bülent Saka	1
+ PDF Chat	Canonical analysis of several sets of variables	1971	J. R. Kettenring	1
+	Numerical solution of Fisher's equation	1974	Jenö Gazdag José Canosa	1
+	A pseudospectral method of solution of Fisher's equation	2005	Daniel Olmos‐Liceaga Bernie D. Shizgal	1
+	Explicit solutions of Fisher's equation for a special wave speed	1979	Mark J. Ablowitz Anthony Zeppetella	1
+	Numerical study of Fisher's reaction–diffusion equation by the Sinc collocation method	2001	Kamel Al‐Khaled	1
+	Numerical Solution of Fisher's Equation Using a Moving Mesh Method	1998	Y. Qiu D. M. Sloan	1
+	Numerical study of Fisher's equation by wavelet Galerkin method	2006	R.C. Mittal Sumit Kumar	1
+	RELATIONS BETWEEN TWO SETS OF VARIATES	1936	Harold Hotelling	1
+	Stability of Moving Mesh Systems of Partial Differential Equations	1998	Shengtai Li Linda Petzold Yuhe Ren	1
+	Exact solitary waves of the Fisher equation	2005	Nikolay A. Kudryashov	1
+	Exact and explicit solitary wave solutions for the generalised fisher equation	1988	Xiao-Shuai Wang	1
+	Efficient numerical solution of Fisher's equation by using B-spline method	2010	R. C. Mittal Geeta Arora	1
+	Spatial Interaction and the Statistical Analysis of Lattice Systems	1974	Julian Besag	1
+	Comparison of the Discrete Singular Convolution and Three Other Numerical Schemes for Solving Fisher's Equation	2003	Shan Zhao Gang Wei	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+ PDF Chat	Numerical study of Fisher's equation by a Petrov-Galerkin finite element method	1991	Shaoqiang Tang R. O. Weber	1
+	New multiple soliton solutions to the general Burgers–Fisher equation and the Kuramoto–Sivashinsky equation	2003	Huaitang Chen Hongqing Zhang	1
+	Using Markov random fields for contour-based grouping	2002	Anke Maßmann Stefan Posch Gerhard Sagerer Daniel Schlüter	1
+	Numerical solutions of nonlinear Fisher's reaction–diffusion equation with modified cubic B-spline collocation method	2013	R.C. Mittal Rakesh K. Jain	1
+	Usage of Higher Order B-splines in Numerical Solution of Fisher's Equation	2014	Aksaray Univesity	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Discovering governing equations from data by sparse identification of nonlinear dynamical systems	2016	Steven L. Brunton Joshua L. Proctor J. Nathan Kutz	1
+	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems	2016	Martı́n Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Gregory S. Corrado Andy Davis Jay B. Dean Matthieu Devin	1
+	The exponential cubic B-spline algorithm for Fisher equation	2016	İdiris Dağ Özlem Ersoy Hepson	1
+	A study of quintic B-spline based differential quadrature method for a class of semi-linear Fisher-Kolmogorov equations	2016	R.C. Mittal Sumita Dahiya	1
+	Extended modified cubic B-spline algorithm for nonlinear Fisher’s reaction-diffusion equation	2016	H. S. Shukla Mohammad Tamsir	1
+	Cubic trigonometric B-spline differential quadrature method for numerical treatment of Fisher’s reaction-diffusion equations	2017	Mohammad Tamsir Neeraj Dhiman Vineet K. Srivastava	1
+	Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data	2017	Anuj Karpatne Gowtham Atluri James H. Faghmous Michael Steinbach Arindam Banerjee Auroop R. Ganguly Shashi Shekhar Nagiza Samatova Vipin Kumar	1
+	Numerical Computation of Nonlinear Fisher’s Reaction–Diffusion Equation with Exponential Modified Cubic B-Spline Differential Quadrature Method	2017	Mohammad Tamsir Vineet K. Srivastava Neeraj Dhiman Anand Chauhan	1
+	Exponential B-splines Galerkin Method for the Numerical Solution of the Fisher’s Equation	2017	Melis Zorşahin Görgülü İdris Dağ	1
+	A collocation technique based on modified form of trigonometric cubic B-spline basis functions for Fisher’s reaction-diffusion equation	2018	Neeraj Dhiman Mohammad Tamsir	1
+	Deep learning for time series classification: a review	2019	Hassan Ismail Fawaz Germain Forestier Jonathan Weber Lhassane Idoumghar Pierre-Alain Müller	1
+	Feedforward Neural Network for Time Series Anomaly Detection	2018	Rong Zhang Dong Shandong Xin Nie Xiao Shiguang	1
+	Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data	2019	Luning Sun Han Gao Shaowu Pan Jianxun Wang	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks	2019	Georgios Kissas Yibo Yang Eileen Hwuang Walter R. Witschey John A. Detre Paris Perdikaris	1
+	Understanding and mitigating gradient pathologies in physics-informed neural networks	2020	Sifan Wang Yujun Teng Paris Perdikaris	1
+	Numerical simulation of Fisher's type equation via a collocation technique based on re-defined quintic B-splines	2020	Neeraj Dhiman Amit Chauhan Mohammad Tamsir Anand Chauhan	1
+ PDF Chat	AI Feynman: A physics-inspired method for symbolic regression	2020	Silviu‐Marian Udrescu Max Tegmark	1
+	Accelerating Physics-Informed Neural Network Training with Prior Dictionaries	2020	Wei Peng Weien Zhou Jun Zhang Wen Yao	1
+ PDF Chat	Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport	2020	Qizhi He David A. Barajas‐Solano G. Tartakovsky Alexandre M. Tartakovsky	1
+ PDF Chat	Non-invasive inference of thrombus material properties with physics-informed neural networks	2020	Minglang Yin Xiaoning Zheng Jay D. Humphrey George Em Karniadakis	1
+	Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks	2020	Colby Wight Jia Zhao	1
+	When and why PINNs fail to train: A neural tangent kernel perspective	2020	Sifan Wang Xinling Yu Paris Perdikaris	1
+	Physics-informed neural networks for inverse problems in nano-optics and metamaterials	2020	Yuyao Chen Lu Lu George Em Karniadakis Luca Dal Negro	1
+ PDF Chat	Low-cost low-power in-vehicle occupant detection with mm-wave FMCW radar	2019	Mostafa Alizadeh Hajar Abedi George Shaker	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