1–8 of 8 hits
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    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

    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

    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. | 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

      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

    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. | TIBKAT | 2023

      Probabilistic Transfer Learning Through Ensemble Probabilistic Deep Neural Network

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

    On Uncertainty Quantification in Materials Modeling and Discovery: Applications of GE's BHM and IDACE

    Ravi, Sandipp Krishnan / Bhaduri, Anindya / Amer, Ahmad et al. | TIBKAT | 2023