Ilias Bilionis - Concepedia

Author

Ilias Bilionis

Purdue University West Lafayette ORCID

Also Known As

Bilionis, I., Bilionis, Ilias, Elias Bilionis, I Bilionis, I. Bilionis, ILIAS BILIONIS, Ilias Bilionis

192

Publications

3.1K

Citations

H-Index

169

Concepts

All Affiliations

Purdue University West Lafayette Cornell University

About

Ilias Bilionis is an author at Purdue University West Lafayette specializing in engineering, statistics, and uncertainty quantification.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	24	37	1.9K
2	Management	5	5	263
3	Business	3	3	223
4	Education	1	1	16
5	Medicine	1	1	30

Ilias Bilionis

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy, Ilias Bilionis Journal of Computational Physics EngineeringMachine LearningData ScienceUncertainty QuantificationDeep Uncertainty	2018	458
Multi-output local Gaussian process regression: Applications to uncertainty quantification Ilias Bilionis, Nicholas Zabaras Journal of Computational Physics Uncertainty ModelingUncertainty QuantificationGaussian ProcessProcess ControlBusiness	2012	180
Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation Rohit Tripathy, Ilias Bilionis, Marcial Gonzalez Journal of Computational Physics EngineeringBuilt-in Dimensionality ReductionData ScienceHigh-dimensional MethodUncertainty Quantification	2016	178
Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification Ilias Bilionis, Nicholas Zabaras, Bledar A. Konomi, Journal of Computational Physics Bayesian ParadigmUncertainty ModelingUncertainty QuantificationGaussian ProcessStatistical Inference	2013	173
Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks Sharmila Karumuri, Rohit Tripathy, Ilias Bilionis, Journal of Computational Physics Deep Neural NetworksEngineeringPde-constrained OptimizationDeep LearningSimulator-free Solution	2019	157
A Bayesian approach for probabilistic classification and inference of occupant thermal preferences in office buildings Seungjae Lee, Ilias Bilionis, Panagiota Karava, Building and Environment Built EnvironmentBayesian StatisticsOffice BuildingsUncertainty QuantificationThermal Comfort	2017	121
Prediction of Energetic Material Properties from Electronic Structure Using 3D Convolutional Neural Networks Alex Casey, Steven F. Son, Ilias Bilionis, Journal of Chemical Information and Modeling	2020	90
Inference of thermal preference profiles for personalized thermal environments with actual building occupants Seungjae Lee, Panagiota Karava, Athanasios Tzempelikos, Building and Environment Built EnvironmentThermal Preference ProfilesEngineeringOccupant ComfortThermal Comfort	2018	75
Solution of inverse problems with limited forward solver evaluations: a Bayesian perspective Ilias Bilionis, Nicholas Zabaras Inverse Problems Mathematical ProgrammingNumerical AnalysisEngineeringForward ModelUncertainty Modeling	2013	73
Implementation of a self-tuned HVAC controller to satisfy occupant thermal preferences and optimize energy use Seungjae Lee, Jaewan Joe, Panagiota Karava, Energy and Buildings Occupant Thermal PreferencesAir ConditioningEngineeringEnergy ControlHeat Recovery	2019	73

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