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George Em Karniadakis

Representation Meets Optimization: Training PINNs and PIKANs for Gray-Box Discovery in Systems Pharmacology

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Apr 10, 2025
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Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems

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Mar 17, 2025
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Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble

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Mar 08, 2025
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DeepSeek vs. ChatGPT: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks

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Feb 25, 2025
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Connecting the geometry and dynamics of many-body complex systems with message passing neural operators

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Feb 21, 2025
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Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions

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Jan 21, 2025
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Scalable Bayesian Physics-Informed Kolmogorov-Arnold Networks

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Jan 15, 2025
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DeepVIVONet: Using deep neural operators to optimize sensor locations with application to vortex-induced vibrations

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Jan 07, 2025
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KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics

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Dec 21, 2024
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A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring

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Dec 16, 2024
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