1–4 of 4 hits
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    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

    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