Panagiotis Tsilifis

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 11

Top Topics

Relevance Vector Machines

Markov Chain Monte Carlo

Gaussian Processes

Top Venues

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

J. Nonlinear Sci.

Publications

Qiuyi Chen, Panagiotis Tsilifis, Mark D. Fuge
Bayesian Inverse Problems with Conditional Sinkhorn Generative Adversarial Networks in Least Volume Latent Spaces. CoRR (2024)
Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Liping Wang
Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds. Entropy 24 (9) (2022)
Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Valeria Andreoli, Thomas Vandeputte, Liping Wang
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes. CoRR (2020)
Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile
Sparse Polynomial Chaos expansions using variational relevance vector machines. J. Comput. Phys. 416 (2020)
Panagiotis Tsilifis, Xun Huan, Cosmin Safta, Khachik Sargsyan, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm, Roger G. Ghanem
Compressive sensing adaptation for polynomial chaos expansions. J. Comput. Phys. 380 (2019)
Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile
Sparse Polynomial Chaos expansions using Variational Relevance Vector Machines. CoRR (2019)
Panagiotis Tsilifis, William J. Browning, Thomas E. Wood, Paul K. Newton, Roger G. Ghanem
The Stochastic Quasi-chemical Model for Bacterial Growth: Variational Bayesian Parameter Update. J. Nonlinear Sci. 28 (1) (2018)
Panagiotis Tsilifis, Roger G. Ghanem
Reduced Wiener Chaos representation of random fields via basis adaptation and projection. J. Comput. Phys. 341 (2017)
Panagiotis Tsilifis, Roger G. Ghanem, Paris Hajali
Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Charanraj Thimmisetty, Panagiotis Tsilifis, Roger G. Ghanem
Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem. Artif. Intell. Eng. Des. Anal. Manuf. 31 (3) (2017)
Theodora Chaspari, Andreas Tsiartas, Panagiotis Tsilifis, Shrikanth S. Narayanan
Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations. IEEE Trans. Signal Process. 64 (12) (2016)