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Christian Moya

DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuning

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Nov 11, 2024
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An Energy-Based Self-Adaptive Learning Rate for Stochastic Gradient Descent: Enhancing Unconstrained Optimization with VAV method

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Nov 10, 2024
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Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators

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Oct 31, 2024
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Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks

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Feb 23, 2024
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Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo

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Jan 22, 2024
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B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions

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Nov 29, 2023
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A Physics-Guided Bi-Fidelity Fourier-Featured Operator Learning Framework for Predicting Time Evolution of Drag and Lift Coefficients

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Nov 07, 2023
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D2NO: Efficient Handling of Heterogeneous Input Function Spaces with Distributed Deep Neural Operators

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Oct 29, 2023
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Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles

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Jun 01, 2023
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On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators

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Jan 29, 2023
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