Piyush Pandita

17 papers Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Interpretable multi-source data fusion through Latent Variable Gaussian Process. Eng. Appl. Artif. Intell. 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
2024	J	`jnl`	Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data. J. Comput. Inf. Sci. Eng. Anindya Bhaduri, Nesar Ramachandra, Sandipp Krishnan Ravi, Lele Luan, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang
2024	J	`jnl`	Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process. CoRR Yigitcan Comlek, Sandipp Krishnan Ravi, Piyush Pandita, Sayan Ghosh, Liping Wang, Wei Chen
2024	J	`jnl`	Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process. CoRR Sandipp Krishnan Ravi, Yigitcan Comlek, Wei Chen, Arjun Pathak, Vipul Gupta, Rajnikant Umretiya, Andrew Hoffman, Ghanshyam Pilania, Piyush Pandita, Sayan Ghosh, Nathaniel Mckeever, Liping Wang
2023	J	`jnl`	Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field. CoRR Lele Luan, Nesar Ramachandra, Sandipp Krishnan Ravi, Anindya Bhaduri, Piyush Pandita, Prasanna Balaprakash, Mihai Anitescu, Changjie Sun, Liping Wang
2022	J	`jnl`	Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds. Entropy Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Liping Wang
2021	J	`jnl`	Bayesian-entropy gaussian process for constrained metamodeling. Reliab. Eng. Syst. Saf. Yuhao Wang, Yi Gao, Yongming Liu, Sayan Ghosh, Waad Subber, Piyush Pandita, Liping Wang
2021	—	`conf`	Data-based Discovery of Governing Equations. AAAI Spring Symposium: MLPS Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem
2021	J	`jnl`	Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning. CoRR Sayan Ghosh, Govinda A. Padmanabha, Cheng Peng, Steven Atkinson, Valeria Andreoli, Piyush Pandita, Thomas Vandeputte, Nicholas Zabaras, Liping Wang
2021	J	`jnl`	Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design. CoRR Yonatan Ashenafi, Piyush Pandita, Sayan Ghosh
2020	J	`jnl`	A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes. CoRR Raphael Gautier, Piyush Pandita, Sayan Ghosh, Dimitri Mavris
2020	J	`jnl`	Advances in Bayesian Probabilistic Modeling for Industrial Applications. CoRR Sayan Ghosh, Piyush Pandita, Steven Atkinson, Waad Subber, Yiming Zhang, Natarajan Chennimalai-Kumar, Suryarghya Chakrabarti, Liping Wang
2020	J	`jnl`	Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes. CoRR Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Valeria Andreoli, Thomas Vandeputte, Liping Wang
2020	J	`jnl`	Data-based Discovery of Governing Equations. CoRR Waad Subber, Piyush Pandita, Sayan Ghosh, Genghis Khan, Liping Wang, Roger G. Ghanem
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`	Towards Scalable Gaussian Process Modeling. CoRR Piyush Pandita, Jesper Kristensen, Liping Wang
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