Panagiotis Tsilifis

According to our database, Panagiotis Tsilifis authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayesian Inverse Problems with Conditional Sinkhorn Generative Adversarial Networks in Least Volume Latent Spaces.

Qiuyi Chen, Panagiotis Tsilifis, Mark D. Fuge

CoRR, 2024

2022

Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds.

Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Liping Wang

Entropy, 2022

2020

Sparse Polynomial Chaos expansions using variational relevance vector machines.

Panagiotis Tsilifis, Iason Papaioannou, Daniel Straub, Fabio Nobile

J. Comput. Phys., 2020

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes.

Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Valeria Andreoli, Thomas Vandeputte, Liping Wang

CoRR, 2020

2019

Compressive sensing adaptation for polynomial chaos expansions.

Panagiotis Tsilifis, Xun Huan, Cosmin Safta, Khachik Sargsyan, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm, Roger G. Ghanem

J. Comput. Phys., 2019

2018

The Stochastic Quasi-chemical Model for Bacterial Growth: Variational Bayesian Parameter Update.

Panagiotis Tsilifis, William J. Browning, Thomas E. Wood, Paul K. Newton, Roger G. Ghanem

J. Nonlinear Sci., 2018

2017

Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound.

Panagiotis Tsilifis, Roger G. Ghanem, Paris Hajali

SIAM/ASA J. Uncertain. Quantification, 2017

Reduced Wiener Chaos representation of random fields via basis adaptation and projection.

Panagiotis Tsilifis, Roger G. Ghanem

J. Comput. Phys., 2017

Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem.

Charanraj Thimmisetty, Panagiotis Tsilifis, Roger G. Ghanem

Artif. Intell. Eng. Des. Anal. Manuf., 2017

2016

Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations.

Theodora Chaspari, Andreas Tsiartas, Panagiotis Tsilifis, Shrikanth S. Narayanan

IEEE Trans. Signal Process., 2016