1 code implementation • 12 Jan 2024 • Qinyi Liu, Mohammad Khalil, Ronas Shakya, Jelena Jovanovic
To address these gaps, we propose a comprehensive evaluation of synthetic data, which encompasses three dimensions of synthetic data quality, namely resemblance, utility, and privacy.
no code implementations • 7 Dec 2023 • Wyatt Bridgman, Uma Balakrishnan, Reese Jones, Jiefu Chen, Xuqing Wu, Cosmin Safta, Yueqin Huang, Mohammad Khalil
For black-box simulations, non-intrusive PCE allows the construction of these surrogates using a set of simulation response evaluations.
no code implementations • 1 Dec 2023 • Ki Sung Jung, Tarek Echekki, Jacqueline H. Chen, Mohammad Khalil
The performance of the reduced-order model with a sparse dataset is found to be remarkably enhanced if the training of the ANN model is restricted by a regularization term that controls the degree of knowledge transfer from source to target tasks.
no code implementations • 12 Jul 2023 • Wyatt Bridgman, Reese Jones, Mohammad Khalil
In this work, we propose a method for constructing an initial Gaussian mixture model approximation that can be used to warm-start the iterative solvers for variational inference.
no code implementations • 8 Feb 2023 • Mohammad Khalil, Erkan Er
To this end, two popular plagiarism detection tools were used to evaluate the originality of 50 essays generated by ChatGPT on various topics.
no code implementations • 31 Jan 2022 • Wyatt Bridgman, Xiaoxuan Zhang, Greg Teichert, Mohammad Khalil, Krishna Garikipati, Reese Jones
In this work we employ an encoder-decoder convolutional neural network to predict the failure locations of porous metal tension specimens based only on their initial porosities.
no code implementations • 17 Feb 2018 • Mohammad Khalil
Educational technology has obtained great importance over the last fifteen years.