Erich Schikuta

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	A Cloud Resources Portfolio Optimization Business Model - From Theory to Practice	2024	Valentin Haag Maximilian Kiessler Benedikt Pittl Erich Schikuta
+	Parallel Neural Networks in Golang	2023	Daniela Kalwarowskyj Erich Schikuta
+	Neural Network Exemplar Parallelization with Go	2023	Georg Wiesinger Erich Schikuta
+	A Digital Marketplace Combining WS-Agreement, Service Negotiation Protocols and Heterogeneous Services	2023	Ralph Vigne Juergen Mangler Erich Schikuta
+	DiCE -- A Data Encryption Proxy for the Cloud	2023	Johannes Koppenwallner Erich Schikuta
+	A Survey on Property-Preserving Database Encryption Techniques in the Cloud	2023	Johannes Koppenwallner Erich Schikuta
+	A Validation Procedure for the Estimation of Reachable Regions in Football	2022	Moritz Renkin J. Bischofberger Erich Schikuta A. Baca
+	Optimization Heuristics for Cost-Efficient Long-Term Cloud Portfolio Allocations Under Uncertainty	2022	Maximilian Kiessler Valentin Haag Benedikt Pittl Erich Schikuta
+ PDF Chat	Error-Guided Likelihood-Free MCMC	2021	Volodimir Begy Erich Schikuta
+	Error-guided likelihood-free MCMC	2020	Volodimir Begy Erich Schikuta
+	Error-guided likelihood-free MCMC	2020	Volodimir Begy Erich Schikuta
+ PDF Chat	Simulating Data Access Profiles of Computational Jobs in Data Grids	2019	Volodimir Begy Joeri Hermans M-S. Barisits M. Lassnig Erich Schikuta
+	Simulating Data Access Profiles of Computational Jobs in Data Grids	2019	Volodimir Begy Joeri Hermans M-S. Barisits M. Lassnig Erich Schikuta
+	Simulating Data Access Profiles of Computational Jobs in Data Grids	2019	Volodimir Begy Joeri Hermans M-S. Barisits M. Lassnig Erich Schikuta
+	Blackboard Meets Dijkstra for Optimization of Web Service Workflows	2018	Christian Vorhemus Erich Schikuta
+	ViPIOS - VIenna Parallel Input Output System: Language, Compiler and Advanced Data Structure Support for Parallel I/O Operations	2018	Erich Schikuta Helmut Wanek Heinz Stockinger Kurt Stockinger Thomas Fürle Oliver Jorns Christoph Löffelhardt Peter Brezány Minh Dang Thomas Mück
+	A XML Based Datagrid Description Language	2016	Rene Felder Erich Schikuta
+	A XML Based Datagrid Description Language	2016	Rene Felder Erich Schikuta
+	A Prediction Model for the Probability of SLA Matching in Consumer Provider Contracting of Web Services	2014	Werner Mach Benedikt Pittl Erich Schikuta
+	N2Sky - Neural Networks as Services in the Clouds	2014	Erich Schikuta Erwin Mann
+	A Prediction Model for the Probability of SLA Matching in Consumer Provider Contracting of Web Services	2014	Werner Mach Benedikt Pittl Erich Schikuta
+	N2Sky - Neural Networks as Services in the Clouds	2014	Erich Schikuta Erwin Mann
+	A Design Blueprint for Virtual Organizations in a Service Oriented Landscape	2013	Wajeeha Khalil Erich Schikuta
+	A Design Blueprint for Virtual Organizations in a Service Oriented Landscape	2013	Wajeeha Khalil Erich Schikuta
+	Cloud Process Execution Engine - Evaluation of the Core Concepts	2010	Juergen Mangler Gerhard Stuermer Erich Schikuta
+	Business in the Grid	2009	Erich Schikuta Thomas Weishaeupl Flavia Donno Heinz Stockinger Elisabeth Vinek Helmut Wanek Christoph Witzany Irfan Ul Haq
+	Neural Networks and Database Systems	2008	Erich Schikuta

Common Coauthors

Coauthor	Papers Together
Volodimir Begy	6
Benedikt Pittl	4
M-S. Barisits	3
Joeri Hermans	3
M. Lassnig	3
Juergen Mangler	2
Valentin Haag	2
Maximilian Kiessler	2
Johannes Koppenwallner	2
Heinz Stockinger	2
Werner Mach	2
Rene Felder	2
Wajeeha Khalil	2
Helmut Wanek	2
Erwin Mann	2
Irfan Ul Haq	1
Thomas Weishaeupl	1
Minh Dang	1
Elisabeth Vinek	1
Ralph Vigne	1
Gerhard Stuermer	1
Christian Vorhemus	1
Thomas Fürle	1
Peter Brezány	1
Flavia Donno	1
Christoph Löffelhardt	1
Kurt Stockinger	1
Georg Wiesinger	1
Daniela Kalwarowskyj	1
Christoph Witzany	1
J. Bischofberger	1
Thomas Mück	1
A. Baca	1
Moritz Renkin	1
Oliver Jorns	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Constructing Summary Statistics for Approximate Bayesian Computation: Semi-Automatic Approximate Bayesian Computation	2012	Paul Fearnhead Dennis Prangle	2
+	MONARC Simulation Framework	2011	Ciprian Dobre Corina Stratan	2
+	On Optimal Selection of Summary Statistics for Approximate Bayesian Computation	2010	Matthew A. Nunes David J. Balding	2
+ PDF Chat	Approximate Bayesian Computation in Population Genetics	2002	Mark Beaumont Wenyang Zhang David J. Balding	2
+	A Novel Approach for Choosing Summary Statistics in Approximate Bayesian Computation	2012	Simon Aeschbacher Mark Beaumont Andreas Futschik	2
+	Monte Carlo sampling methods using Markov chains and their applications	1970	W. Keith Hastings	2
+ PDF Chat	Approximate Bayesian computational methods	2011	Jean‐Michel Marin Pierre Pudlo Christian P. Robert Robin Ryder	2
+ PDF Chat	GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing	2002	Rajkumar Buyya Manzur Murshed	2
+	Likelihood-free MCMC with Approximate Likelihood Ratios.	2019	Joeri Hermans Volodimir Begy Gilles Louppe	2
+	Self-Normalizing Neural Networks	2017	Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter	2
+	Flexible statistical inference for mechanistic models of neural dynamics	2017	Jan-Matthis Lueckmann Pedro J. Gonçalves Giacomo Bassetto Kaan Öcal Marcel Nonnenmacher Jakob H. Macke	2
+	Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows	2018	George Papamakarios David C. Sterratt Iain Murray	2
+	Fast $ε$-free Inference of Simulation Models with Bayesian Conditional Density Estimation	2016	George Papamakarios Iain Murray	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+	The frontier of simulation-based inference	2020	K. Cranmer Johann Brehmer Gilles Louppe	2
+	Likelihood-free MCMC with Amortized Approximate Ratio Estimators	2020	Joeri Hermans Volodimir Begy Gilles Louppe	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	Likelihood-free MCMC with Amortized Approximate Ratio Estimators	2019	Joeri Hermans Volodimir Begy Gilles Louppe	1
+	Combinatorics: a guided tour	2010	David Mazur	1
+	Sequential Neural Methods for Likelihood-free Inference	2018	Conor Durkan George Papamakarios Iain Murray	1
+	Correlation and regression analysis : a historian's guide	1994	Thomas J. Archdeacon	1
+	Sequential Neural Methods for Likelihood-free Inference	2018	Conor Durkan George Papamakarios Iain Murray	1
+ PDF Chat	SLA-oriented resource provisioning for cloud computing: Challenges, architecture, and solutions	2011	Rajkumar Buyya Saurabh Garg Rodrigo N. Calheiros	1
+	On Contrastive Learning for Likelihood-free Inference	2020	Conor Durkan Iain Murray George Papamakarios	1
+	Automatic Posterior Transformation for Likelihood-Free Inference	2019	David Greenberg Marcel Nonnenmacher Jakob H. Macke	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Likelihood-free MCMC with Amortized Approximate Ratio Estimators	2019	Joeri Hermans Volodimir Begy Gilles Louppe	1