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Ilias Bilionis
Ilias Bilionis
Associate Professor, Mechanical Engineering, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
RK Tripathy, I Bilionis
Journal of computational physics 375, 565-588, 2018
4432018
Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification
I Bilionis, N Zabaras, BA Konomi, G Lin
Journal of Computational Physics 241, 212-239, 2013
1962013
Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation
R Tripathy, I Bilionis, M Gonzalez
Journal of Computational Physics 321, 191-223, 2016
1922016
Multi-output local Gaussian process regression: Applications to uncertainty quantification
I Bilionis, N Zabaras
Journal of Computational Physics 231 (17), 5718-5746, 2012
1752012
Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks
S Karumuri, R Tripathy, I Bilionis, J Panchal
Journal of Computational Physics 404, 109120, 2020
1432020
A Bayesian approach for probabilistic classification and inference of occupant thermal preferences in office buildings
S Lee, I Bilionis, P Karava, A Tzempelikos
Building and Environment 118, 323-343, 2017
1162017
Inference of thermal preference profiles for personalized thermal environments with actual building occupants
S Lee, P Karava, A Tzempelikos, I Bilionis
Building and Environment 148, 714-729, 2019
762019
Solution of inverse problems with limited forward solver evaluations: a Bayesian perspective
I Bilionis, N Zabaras
Inverse Problems 30 (1), 015004, 2013
742013
Machine learning for high-dimensional dynamic stochastic economies
S Scheidegger, I Bilionis
Journal of Computational Science 33, 68-82, 2019
702019
A stochastic optimization approach to coarse-graining using a relative-entropy framework
I Bilionis, N Zabaras
The Journal of chemical physics 138 (4), 2013
612013
Uncertainty propagation using infinite mixture of gaussian processes and variational bayesian inference
P Chen, N Zabaras, I Bilionis
Journal of computational physics 284, 291-333, 2015
592015
Implementation of a self-tuned HVAC controller to satisfy occupant thermal preferences and optimize energy use
S Lee, J Joe, P Karava, I Bilionis, A Tzempelikos
Energy and Buildings 194, 301-316, 2019
582019
Free energy computations by minimization of Kullback–Leibler divergence: An efficient adaptive biasing potential method for sparse representations
I Bilionis, PS Koutsourelakis
Journal of Computational Physics 231 (9), 3849-3870, 2012
582012
Quantifying the impact of domain knowledge and problem framing on sequential decisions in engineering design
M Shergadwala, I Bilionis, KN Kannan, JH Panchal
Journal of Mechanical Design 140 (10), 101402, 2018
532018
Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression
T Lee, I Bilionis, AB Tepole
Computer methods in applied mechanics and engineering 359, 112724, 2020
512020
A personalized daylighting control approach to dynamically optimize visual satisfaction and lighting energy use
J Xiong, A Tzempelikos, I Bilionis, P Karava
Energy and Buildings 193, 111-126, 2019
482019
Prediction of energetic material properties from electronic structure using 3D convolutional neural networks
AD Casey, SF Son, I Bilionis, BC Barnes
Journal of Chemical Information and Modeling 60 (10), 4457-4473, 2020
472020
Process optimization of graphene growth in a roll-to-roll plasma CVD system
MA Alrefae, A Kumar, P Pandita, A Candadai, I Bilionis, TS Fisher
Aip Advances 7 (11), 2017
452017
Bayesian uncertainty propagation using Gaussian processes
I Bilionis, N Zabaras
Handbook of uncertainty quantification, 1-45, 2016
422016
Data-driven model for solar irradiation based on satellite observations
I Bilionis, EM Constantinescu, M Anitescu
Solar energy 110, 22-38, 2014
402014
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