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Found 4 papers, 0 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.
A Tensor Network Implementation of Multi Agent Reinforcement Learning
The TN represents a distribution model, where all possible trajectories are considered.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Hyperspectral Compressive Wavefront Sensing
Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot.
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.
