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    Developing a Probabilistic Load Spectrum for Fatigue Modeling

    Asher, Isaac / Wang, Liping / Khan, Genghis et al. | AIAA | 2017

    Calibrating an equivalent initial flaw size distribution from da/dN and S-N data

    Asher, Isaac / Khan, Genghis / Wang, Liping et al. | AIAA | 2017

    Information gain-based inspection scheduling for fatigued aircraft components

    Ling, You / Asher, Isaac / Wang, Liping et al. | AIAA | 2017

    Bayesian task embedding for few-shot Bayesian optimization

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

    INFORMATION GAIN-BASED INSPECTION SCHEDULING FOR FATIGUED AIRCRAFT COMPONENTS (AIAA 2017-1565)

    Ling, You / Asher, Isaac / Wang, Liping et al. | British Library Conference Proceedings | 2017

    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

    Multimodal Particle Swarm Optimization: Enhancements and Applications

    Singh, Gulshan / Viana, Felipe / Subramaniyan, Arun Karthi et al. | AIAA | 2012

    Applications of Intelligent Experimental Design for Additive Manufacturing

    Chennimalai Kumar, Natarajan / Zhang, Yiming / Gupta, Vipul et al. | AIAA | 2020

    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