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Found 3 papers, 1 papers with code
Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model
Moreover, the DVAE model with RBM prior can be easily integrated with quantum sampling by outsourcing its generative process to measurements of quantum states obtained from a quantum annealer or gate-model device.
Multi-scale Digital Twin: Developing a fast and physics-informed surrogate model for groundwater contamination with uncertain climate models
To quickly assess the spatiotemporal variations of groundwater contamination under uncertain climate disturbances, we developed a physics-informed machine learning surrogate model using U-Net enhanced Fourier Neural Operator (U-FNO) to solve Partial Differential Equations (PDEs) of groundwater flow and transport simulations at the site scale. We develop a combined loss function that includes both data-driven factors and physical boundary constraints at multiple spatiotemporal scales.
Resolving the measurement uncertainty paradox in ecological management
This paradox is best illustrated in the example of fisheries management, where many ideas that guide thinking about ecological decision making were first developed.
