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$Γ$-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data
Natural systems with emergent behaviors often organize along low-dimensional subsets of high-dimensional spaces.
Cardiac ultrasound simulation for autonomous ultrasound navigation
However, the image quality varies with operator skills as acquiring and interpreting ultrasound images requires extensive training due to the imaging artefacts, the range of acquisition parameters and the variability of patient anatomies.
Neural Network Cost Landscapes as Quantum States
We search this meta-loss landscape with the same method to simultaneously train and design a binary neural network.
Graph Cut Segmentation Methods Revisited with a Quantum Algorithm
The design and performance of computer vision algorithms are greatly influenced by the hardware on which they are implemented.
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