Ilias Bilionis

48 papers Journal 46Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`book`	Introduction to Data Science for Engineering Students Ilias Bilionis
2025	J	`jnl`	An interpretation of the Brownian bridge as a physics-informed prior for the Poisson equation. CoRR Alex Alberts, Ilias Bilionis
2025	J	`jnl`	Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability. CoRR Shrenik Zinage, Peter H. Meckl, Ilias Bilionis
2025	J	`jnl`	Bayesian neural networks with interpretable priors from Mercer kernels. CoRR Alex Alberts, Ilias Bilionis
2025	J	`jnl`	Generative hyperelasticity with physics-informed probabilistic diffusion fields. Eng. Comput. Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole
2024	J	`jnl`	A Causal Graph-Enhanced Gaussian Process Regression for Modeling Engine-out NOx. CoRR Shrenik Zinage, Ilias Bilionis, Peter H. Meckl
2024	J	`jnl`	A computational framework for making early design decisions in deep space habitats. Adv. Eng. Softw. Amir Behjat, Xiaoyu Liu, Oscar Forero, Roman Ibrahimov, Shirley Dyke, Ilias Bilionis, Julio Alfonso Ramirez, Dawn Whitaker
2024	J	`jnl`	An information field theory approach to Bayesian state and parameter estimation in dynamical systems. J. Comput. Phys. Kairui Hao, Ilias Bilionis
2024	J	`jnl`	Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides. J. Comput. Phys. Sharmila Karumuri, Ilias Bilionis
2023	J	`jnl`	A Bayesian Hierarchical Model for Extracting Individuals' Theory-Based Causal Knowledge. J. Comput. Inf. Sci. Eng. Atharva Hans, Ashish M. Chaudhari, Ilias Bilionis, Jitesh H. Panchal
2023	J	`jnl`	An information field theory approach to Bayesian state and parameter estimation in dynamical systems. CoRR Kairui Hao, Ilias Bilionis
2023	J	`jnl`	Automated image localization to support rapid building reconnaissance in a large-scale area. Comput. Aided Civ. Infrastructure Eng. Xiaoyu Liu, Shirley J. Dyke, Ali Lenjani, Ilias Bilionis, Xin Zhang, Jongseong Choi
2023	J	`jnl`	Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields. CoRR Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole
2023	J	`jnl`	Learning to solve Bayesian inverse problems: An amortized variational inference approach. CoRR Sharmila Karumuri, Ilias Bilionis
2023	J	`jnl`	Physics-informed Information Field Theory for Modeling Physical Systems with Uncertainty Quantification. CoRR Alex Alberts, Ilias Bilionis
2023	J	`jnl`	Physics-informed information field theory for modeling physical systems with uncertainty quantification. J. Comput. Phys. Alex Alberts, Ilias Bilionis
2022	J	`jnl`	Data Driven Modeling of Turbocharger Turbine using Koopman Operator. CoRR Shrenik Zinage, Suyash Jadhav, Yifei Zhou, Ilias Bilionis, Peter H. Meckl
2022	J	`jnl`	Physics-informed neural networks for solving parametric magnetostatic problems. CoRR Andrés Beltrán-Pulido, Ilias Bilionis, Dionysios Aliprantis
2022	J	`jnl`	Similarity learning to enable building searches in post-event image data. Comput. Aided Civ. Infrastructure Eng. Jongseong Choi, Ju An Park, Shirley J. Dyke, Chul Min Yeum, Xiaoyu Liu, Ali Lenjani, Ilias Bilionis
2021	J	`jnl`	Bayesian Model Averaging for Data Driven Decision Making when Causality is Partially Known. CoRR Marios Papamichalis, Abhishek Ray, Ilias Bilionis, Karthik N. Kannan, Rajiv Krishnamurthy
2021	J	`jnl`	Exploratory Data Analysis for Airline Disruption Management. CoRR Kolawole Ogunsina, Ilias Bilionis, Daniel DeLaurentis
2021	—	`conf`	Non-invasive Detection of Bowel Sounds in Real-life Settings Using Spectrogram Zeros and Autoencoding. EMBC Ilias Bilionis, Georgios K. Apostolidis, Vasileios S. Charisis, Christos N. Liatsos, Leontios J. Hadjileontiadis
2020	J	`jnl`	Automated Indoor Image Localization to Support a Post-Event Building Assessment. Sensors Xiaoyu Liu, Shirley J. Dyke, Chul Min Yeum, Ilias Bilionis, Ali Lenjani, Jongseong Choi
2020	J	`jnl`	Automated building image extraction from 360° panoramas for postdisaster evaluation. Comput. Aided Civ. Infrastructure Eng. Ali Lenjani, Chul Min Yeum, Shirley Dyke, Ilias Bilionis
2020	J	`jnl`	Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty. CoRR Casey Stowers, Taeksang Lee, Ilias Bilionis, Arun Gosain, Adrian Buganza Tepole
2020	J	`jnl`	Modeling the System Acquisition Using Deep Reinforcement Learning. IEEE Access Salar Safarkhani, Ilias Bilionis, Jitesh H. Panchal
2020	J	`jnl`	Prediction of Energetic Material Properties from Electronic Structure Using 3D Convolutional Neural Networks. J. Chem. Inf. Model. Alex D. Casey, Steven F. Son, Ilias Bilionis, Brian C. Barnes
2020	J	`jnl`	Simulator-free solution of high-dimensional stochastic elliptic partial differential equations using deep neural networks. J. Comput. Phys. Sharmila Karumuri, Rohit Tripathy, Ilias Bilionis, Jitesh H. Panchal
2020	J	`jnl`	Toward a Theory of Systems Engineering Processes: A Principal-Agent Model of a One-Shot, Shallow Process. IEEE Syst. J. Salar Safarkhani, Ilias Bilionis, Jitesh H. Panchal
2019	J	`jnl`	A Principal-Agent Model of Systems Engineering Processes with Application to Satellite Design. CoRR Salar Safarkhani, Vikranth Reddy Kattakuri, Ilias Bilionis, Jitesh H. Panchal
2019	J	`jnl`	A Resilience-based Method for Prioritizing Post-event Building Inspections. CoRR Ali Lenjani, Ilias Bilionis, Shirley Dyke, Chul Min Yeum, Ricardo Monteiro
2019	J	`jnl`	Automated Building Image Extraction from 360-degree Panoramas for Post-Disaster Evaluation. CoRR Ali Lenjani, Chul Min Yeum, Shirley Dyke, Ilias Bilionis
2019	J	`jnl`	Automated Detection of Pre-Disaster Building Images from Google Street View. CoRR Chul Min Yeum, Ali Lenjani, Shirley J. Dyke, Ilias Bilionis
2019	J	`jnl`	Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design. CoRR Piyush Pandita, Nimish Awalgaonkar, Ilias Bilionis, Jitesh H. Panchal
2019	J	`jnl`	Learning Personalized Thermal Preferences via Bayesian Active Learning with Unimodality Constraints. CoRR Nimish Awalgaonkar, Ilias Bilionis, Xiaoqi Liu, Panagiota Karava, Athanasios Tzempelikos
2019	J	`jnl`	Machine learning for high-dimensional dynamic stochastic economies. J. Comput. Sci. Simon Scheidegger, Ilias Bilionis
2019	J	`jnl`	Towards a Theory of Systems Engineering Processes: A Principal-Agent Model of a One-Shot, Shallow Process. CoRR Salar Safarkhani, Ilias Bilionis, Jitesh H. Panchal
2019	J	`jnl`	Towards fully automated post-event data collection and analysis: pre-event and post-event information fusion. CoRR Ali Lenjani, Shirley J. Dyke, Ilias Bilionis, Chul Min Yeum, Kenzo Kamiya, Jongseong Choi, Xiaoyu Liu, Arindam G. Chowdhury
2018	J	`jnl`	Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification. CoRR Rohit K. Tripathy, Ilias Bilionis
2018	J	`jnl`	Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification. J. Comput. Phys. Rohit K. Tripathy, Ilias Bilionis
2018	J	`jnl`	Deriving Information Acquisition Criteria For Sequentially Inferring The Expected Value Of A Black-Box Function. CoRR Piyush Pandita, Ilias Bilionis, Jitesh H. Panchal
2018	J	`jnl`	Strategic information revelation in collaborative design. Adv. Eng. Informatics Adam Dachowicz, Siva Chaitanya Chaduvula, Mikhail J. Atallah, Ilias Bilionis, Jitesh H. Panchal
2016	J	`jnl`	Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation. J. Comput. Phys. Rohit Tripathy, Ilias Bilionis, Marcial Gonzalez
2015	J	`jnl`	Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference. J. Comput. Phys. Peng Chen, Nicholas Zabaras, Ilias Bilionis
2013	J	`jnl`	Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification. J. Comput. Phys. Ilias Bilionis, Nicholas Zabaras, Bledar A. Konomi, Guang Lin
2012	J	`jnl`	Free energy computations by minimization of Kullback-Leibler divergence: An efficient adaptive biasing potential method for sparse representations. J. Comput. Phys. Ilias Bilionis, Phaedon-Stelios Koutsourelakis
2012	J	`jnl`	Multi-output local Gaussian process regression: Applications to uncertainty quantification. J. Comput. Phys. Ilias Bilionis, Nicholas Zabaras
2012	J	`jnl`	Multidimensional Adaptive Relevance Vector Machines for Uncertainty Quantification. SIAM J. Sci. Comput. Ilias Bilionis, Nicholas Zabaras