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Found 6 papers, 2 papers with code
Machine-learned models for magnetic materials
The encoder is trying to predict the material parameters of a theoretical model, which is then used in a decoder part.
Data-driven criteria for quantum correlations
The network is forced to recognize separable states, and correlated states are detected as anomalies.
Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learning
Quantum entanglement is a fundamental property commonly used in various quantum information protocols and algorithms.
Generation of microbial colonies dataset with deep learning style transfer
We introduce an effective strategy to generate an annotated synthetic dataset of microbiological images of Petri dishes that can be used to train deep learning models in a fully supervised fashion.
Deep neural networks approach to microbial colony detection -- a comparative analysis
Counting microbial colonies is a fundamental task in microbiology and has many applications in numerous industry branches.
AGAR a microbial colony dataset for deep learning detection
The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of microbial colonies cultured on agar plates.
