1–20 of 21 hits
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    Computationally Efficient Bayesian Optimization for Multi-objective Industrial Applications

    Pandita, Piyush / Ghosh, Sayan / Wang, Liping | AIAA | 2021

      COMPUTATIONALLY EFFICIENT BAYESIAN OPTIMIZATION FOR MULTI-OBJECTIVE INDUSTRIAL APPLICATIONS

      Pandita, Piyush / Ghosh, Sayan / Wang, Liping | TIBKAT | 2021

    Dimensionality Reduction for Multi-Fidelity Gaussian Processes using Bayesian Adaptation

    Tsilifis, Panagiotis / Pandita, Piyush / Ghosh, Sayan et al. | AIAA | 2021

      DIMENSIONALITY REDUCTION FOR MULTI-FIDELITY GAUSSIAN PROCESSES USING BAYESIAN ADAPTATION

      Tsilifis, Panagiotis / Pandita, Piyush / Ghosh, Sayan et al. | TIBKAT | 2021

    Learning Uncertainty using Clustering and Local Gaussian Process Regression

    Zhang, Yiming / Ghosh, Sayan / Asher, Isaac et al. | AIAA | 2019

    A Constrained Semi-parametric Gaussian Process Using Bayesian-Entropy Regression

    Wang, Yuhao / Gao, Yi / Liu, Yongming et al. | AIAA | 2021

    Efficient Bayesian Inverse Method Using Robust Gaussian Processes For Design Under Uncertainty

    Ghosh, Sayan / Pandita, Piyush / Subber, Waad et al. | AIAA | 2020

    Bayesian Multi-Source Modeling with Legacy Data

    Ghosh, Sayan / Asher, Isaac / Kristensen, Jesper et al. | AIAA | 2018

    Bayesian task embedding for few-shot Bayesian optimization

    Atkinson, Steven / Ghosh, Sayan / Chennimalai Kumar, Natarajan et al. | AIAA | 2020

    Finding Maximum Expected Improvement for High-Dimensional Design Optimization

    Zhang, Yiming / Kristensen, Jesper / Ghosh, Sayan et al. | AIAA | 2019

    Remarks for Scaling Up a General Gaussian Process to Model Large Dataset with Sub-models

    Zhang, Yiming / Ghosh, Sayan / Pandita, Piyush et al. | AIAA | 2020

    Efficient robust design optimization using Gaussian process and intelligent sampling

    Ling, You / Ryan, Kevin / Asher, Isaac et al. | AIAA | 2018

    Multi-fidelity metamodeling in turbine blade airfoils via transfer learning on manifolds

    Kontolati, Katiana / Tsilifis, Panagiotis / Ghosh, Sayan et al. | AIAA | 2023

    Transfer Learning Based Modeling of Industrial Turbine Airfoil Characteristics

    Krishnan, Sandipp / Ghosh, Sayan / Atkinson, Steven et al. | AIAA | 2022

      Transfer Learning Based Modeling of Industrial Turbine Airfoil Characteristics

      Krishnan, Sandipp / Ghosh, Sayan / Atkinson, Steven et al. | TIBKAT | 2022

    Efficient Robust Design Optimization Using Gaussian Process and Intelligent Sampling (AIAA 2018-4175)

    Ling, You / Ryan, Kevin / Asher, Isaac et al. | British Library Conference Proceedings | 2018

    An Intelligent Sampling Framework for Multi-objective Optimization in High Dimensional Design Space (AIAA 2018-0912)

    Ling, You / Ghosh, Sayan / Asher, Isaac et al. | British Library Conference Proceedings | 2018

    Probabilistic Transfer Learning through Ensemble Probabilistic Deep Neural Network

    Ravi, Sandipp Krishnan / Pandita, Piyush / Ghosh, Sayan et al. | AIAA | 2023

      Probabilistic Transfer Learning Through Ensemble Probabilistic Deep Neural Network

      Ravi, Sandipp Krishnan / Pandita, Piyush / Ghosh, Sayan et al. | TIBKAT | 2023

      Probabilistic Transfer Learning Through Ensemble Probabilistic Deep Neural Network

      Ravi, Sandipp Krishnan / Pandita, Piyush / Ghosh, Sayan et al. | TIBKAT | 2023

    Pro-ML IDeAS: A Probabilistic Framework for Explicit Inverse Design using Invertible Neural Network

    Ghosh, Sayan / Padmanabha, Govinda A. / Peng, Cheng et al. | AIAA | 2021

      PRO-ML IDEAS: A PROBABILISTIC FRAMEWORK FOR EXPLICIT INVERSE DESIGN USING INVERTIBLE NEURAL NETWORK

      Ghosh, Sayan / Padmanabha, Govinda A. / Peng, Cheng et al. | TIBKAT | 2021

      PRO-ML IDEAS: A PROBABILISTIC FRAMEWORK FOR EXPLICIT INVERSE DESIGN USING INVERTIBLE NEURAL NETWORK

      Ghosh, Sayan / Padmanabha, Govinda A. / Peng, Cheng et al. | TIBKAT | 2021