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Found 6 papers, 1 papers with code
Photon-photon interactions in Rydberg-atom arrays
We investigate the interaction of weak light fields with two-dimensional lattices of atoms, in which two-photon coupling establishes conditions of electromagnetically induced transparency and excites high lying atomic Rydberg states.
Quantum Physics
Non-invasive imaging of object behind strongly scattering media via cross-spectrum
We develop a method based on the cross-spectrum of an intensity-modulated CW laser, which can extract a signal from an extremely noisy environment and image objects hidden in turbid media.
Optics Biological Physics
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks
A practical problem with this approach is that the amount of data required to confidently train such a regression model can be prohibitive.
Keyword-based Topic Modeling and Keyword Selection
The challenge is that these need to be specified ahead of knowing the forthcoming documents and the underlying topics.
Layer Flexible Adaptive Computation Time for Recurrent Neural Networks
Deep recurrent neural networks perform well on sequence data and are the model of choice.
Layer Flexible Adaptive Computational Time
Deep recurrent neural networks perform well on sequence data and are the model of choice.
