Panagiotis (Panos) Tsilifis

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	432	326
h-индекс	11	11
i10-индекс	13	11

20162017201820192020202120222023202420257 19 27 37 42 56 67 75 59 27

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13 статии

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Съавтори

Roger GhanemProfessor Civil Engineering, University of Southern CaliforniaПотвърден имейл адрес: usc.edu
Piyush PanditaStaff Engineer, GE AerospaceПотвърден имейл адрес: ge.com
Sayan GhoshSenior Engineer at GE Aerospace ResearchПотвърден имейл адрес: ge.com
Fabio NobileMATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)Потвърден имейл адрес: epfl.ch
Ilias BilionisProfessor, Mechanical Engineering, Purdue UniversityПотвърден имейл адрес: purdue.edu
Habib NajmSandia National LaboratoriesПотвърден имейл адрес: sandia.gov
Khachik SargsyanSandia National LaboratoriesПотвърден имейл адрес: sandia.gov
Cosmin SaftaSandia National LabsПотвърден имейл адрес: sandia.gov
Valeria AndreoliAerodynamics Engineer, GE ResearchПотвърден имейл адрес: ge.com
Xun HuanAssociate Professor of Mechanical Engineering, University of MichiganПотвърден имейл адрес: umich.edu
Charanraj ThimmisettyPalo Alto NetworksПотвърден имейл адрес: paloaltonetworks.com
Ioannis KatsounarosAristotle University of ThessalonikiПотвърден имейл адрес: chem.auth.gr
Nicholas ZabarasProfessor, Cornell UniversityПотвърден имейл адрес: nd.edu
Iason PapaioannouTU MünchenПотвърден имейл адрес: tum.de
Daniel StraubTU München, Engineering Risk Analysis GroupПотвърден имейл адрес: tum.de
Matthieu Claude MartinCriteoПотвърден имейл адрес: criteo.com
Nimish AwalgaonkarManager, AI Research & InnovationПотвърден имейл адрес: zs.com
Jitesh H. PanchalSchool of Mechanical Engineering, Purdue University, West Lafayette, INПотвърден имейл адрес: purdue.edu
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern CaliforniaПотвърден имейл адрес: sipi.usc.edu
Theodora ChaspariUniversity of Colorado BoulderПотвърден имейл адрес: colorado.edu

Следене

Panagiotis (Panos) Tsilifis

General Electric Vernova Advanced Research

Потвърден имейл адрес: ge.com

Machine Learning Predictive Modeling Scientific Computing


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Compressive sensing adaptation for polynomial chaos expansions P Tsilifis, X Huan, C Safta, K Sargsyan, G Lacaze, JC Oefelein, HN Najm, ... Journal of Computational Physics 380, 29-47, 2019	78	2019
Reduced Wiener Chaos representation of random fields via basis adaptation and projection P Tsilifis, RG Ghanem Journal of Computational Physics 341, 102-120, 2017	56	2017
Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound P Tsilifis, RG Ghanem, P Hajali SIAM/ASA Journal on Uncertainty Quantification 5 (1), 30-62, 2017	53	2017
Bayesian adaptation of chaos representations using variational inference and sampling on geodesics P Tsilifis, RG Ghanem Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2018	30	2018
Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem C Thimmisetty, P Tsilifis, R Ghanem Ai Edam 31 (3), 265-276, 2017	29	2017
Computationally efficient variational approximations for Bayesian inverse problems P Tsilifis, I Bilionis, I Katsounaros, N Zabaras Journal of Verification, Validation and Uncertainty Quantification 1 (3), 031004, 2016	26	2016
Surrogate-based sequential Bayesian experimental design using non-stationary Gaussian Processes P Pandita, P Tsilifis, NM Awalgaonkar, I Bilionis, J Panchal Computer Methods in Applied Mechanics and Engineering 385, 114007, 2021	25	2021
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes P Tsilifis, P Pandita, S Ghosh, V Andreoli, T Vandeputte, L Wang Computer Methods in Applied Mechanics and Engineering 386, 114147, 2021	24	2021
Sparse Polynomial Chaos expansions using variational relevance vector machines P Tsilifis, I Papaioannou, D Straub, F Nobile Journal of Computational Physics 416, 109498, 2020	23	2020
A Multilevel Stochastic Gradient method for PDE-constrained Optimal Control Problems with uncertain parameters M Martin, F Nobile, P Tsilifis arXiv preprint arXiv:1912.11900, 2019	17	2019
Gradient-Informed Basis Adaptation for Legendre Chaos Expansions PA Tsilifis Journal of Verification, Validation and Uncertainty Quantification 3 (1), 011005, 2018	12*	2018
Scalable fully bayesian gaussian process modeling and calibration with adaptive sequential monte carlo for industrial applications P Pandita, P Tsilifis, S Ghosh, L Wang Journal of Mechanical Design 143 (7), 074502, 2021	11	2021
Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations T Chaspari, A Tsiartas, P Tsilifis, SS Narayanan IEEE Transactions on Signal Processing 64 (12), 3077-3092, 2016	11	2016
Cubic-Quintic Long-Range Interactions With Double Well Potentials PA Tsilifis, PG Kevrekidis, VM Rothos Journal of Physics A: Mathematical and Theoretical 47 (3), 035201, 2014	8	2014
Inverse Design under Uncertainty using Conditional Normalizing Flows P Tsilifis, S Ghosh, V Andreoli AIAA SCITECH 2022 Forum, 0631, 2022	6	2022
Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds P Tsilifis, P Pandita, S Ghosh, L Wang Entropy 24 (9), 1291, 2022	4	2022
Multi-fidelity metamodeling in turbine blade airfoils via transfer learning on manifolds K Kontolati, P Tsilifis, S Ghosh, V Andreoli, M Shields, L Wang AIAA SCITECH 2023 Forum, 0918, 2023	3	2023
High Fidelity Digital Twin for Critical System Assessments YJ Wang, K Shirvan, E Baglietto, P Tsilifis, A Amer, G Khan, L Wang 19th International Topical Meeting on Nuclear Reactor Thermal Hydraulics …, 2022	3	2022
Dimensionality Reduction for Multi-Fidelity Gaussian Processes using Bayesian Adaptation P Tsilifis, P Pandita, S Ghosh, L Wang AIAA Scitech 2021 Forum, 1588, 2021	3	2021
The stochastic quasi-chemical model for bacterial growth: Variational bayesian parameter update P Tsilifis, WJ Browning, TE Wood, PK Newton, RG Ghanem Journal of Nonlinear Science 28, 371-393, 2018	3	2018

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