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Found 4 papers, 1 papers with code
CoordGate: Efficiently Computing Spatially-Varying Convolutions in Convolutional Neural Networks
Optical imaging systems are inherently limited in their resolution due to the point spread function (PSF), which applies a static, yet spatially-varying, convolution to the image.
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Laser-plasma physics has developed rapidly over the past few decades as high-power lasers have become both increasingly powerful and more widely available.
Multi-objective and multi-fidelity Bayesian optimization of laser-plasma acceleration
This dramatically reduces the time required to find appropriate objective definitions for new problems.
Leveraging Trust for Joint Multi-Objective and Multi-Fidelity Optimization
We present and compare two MOMF optimization methods: a holistic approach selecting both the input parameters and the trust parameter jointly, and a sequential approach for benchmarking.
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