Deriving Information Acquisition Criteria For Sequentially Inferring The Expected Value Of A Black-Box Function. - Piyush Pandita; Ilias Bilionis; Jitesh H. Panchal (CoRR, 2018)

Towards Scalable Gaussian Process Modeling. - Piyush Pandita; Jesper Kristensen; Liping Wang (CoRR, 2019)

Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design. - Piyush Pandita; Nimish Awalgaonkar; Ilias Bilionis; Jitesh H. Panchal (CoRR, 2019)

Advances in Bayesian Probabilistic Modeling for Industrial Applications. - Sayan Ghosh; Piyush Pandita; Steven Atkinson; Waad Subber; Yiming Zhang; Natarajan Chennimalai-Kumar; Suryarghya Chakrabarti; Liping Wang (CoRR, 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)

A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes. - Raphael Gautier; Piyush Pandita; Sayan Ghosh; Dimitri Mavris (CoRR, 2020)

Data-based Discovery of Governing Equations. - Waad Subber; Piyush Pandita; Sayan Ghosh; Genghis Khan; Liping Wang; Roger G. Ghanem (AAAI Spring Symposium: MLPS, 2021)

Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning. - Sayan Ghosh; Govinda A. Padmanabha; Cheng Peng; Steven Atkinson; Valeria Andreoli; Piyush Pandita; Thomas Vandeputte; Nicholas Zabaras; Liping Wang (CoRR, 2021)

Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design. - Yonatan Ashenafi; Piyush Pandita; Sayan Ghosh (CoRR, 2021)

Bayesian-entropy gaussian process for constrained metamodeling. - Yuhao Wang; Yi Gao; Yongming Liu; Sayan Ghosh; Waad Subber; Piyush Pandita; Liping Wang (Reliab. Eng. Syst. Saf., 2021)

Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds. - Panagiotis Tsilifis; Piyush Pandita; Sayan Ghosh; Liping Wang (Entropy, 2022)

Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field. - Lele Luan; Nesar Ramachandra; Sandipp Krishnan Ravi; Anindya Bhaduri; Piyush Pandita; Prasanna Balaprakash; Mihai Anitescu; Changjie Sun; Liping Wang (CoRR, 2023)

Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process. - Yigitcan Comlek; Sandipp Krishnan Ravi; Piyush Pandita; Sayan Ghosh; Liping Wang; Wei Chen (CoRR, 2024)

Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. - Anindya Bhaduri; Nesar Ramachandra; Sandipp Krishnan Ravi; Lele Luan; Piyush Pandita; Prasanna Balaprakash; Mihai Anitescu; Changjie Sun; Liping Wang (J. Comput. Inf. Sci. Eng., 2024)

Interpretable multi-source data fusion through Latent Variable Gaussian Process. - Sandipp Krishnan Ravi; Yigitcan Comlek; Arjun Pathak; Vipul Gupta; Rajnikant Umretiya; Andrew Hoffman; Ghanshyam Pilania; Piyush Pandita; Sayan Ghosh; Nathaniel Mckeever; Wei Chen; Liping Wang (Eng. Appl. Artif. Intell., 2025)