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Found 3 papers, 1 papers with code
A Survey of Classical And Quantum Sequence Models
Our primary objective is to conduct a brief survey of various classical and quantum neural net sequence models, which includes self-attention and recurrent neural networks, with a focus on recent quantum approaches proposed to work with near-term quantum devices, while exploring some basic enhancements for these quantum models.
Study of Feature Importance for Quantum Machine Learning Models
This work presents the first study of its kind in which feature importance for QML models has been explored and contrasted against their classical machine learning (CML) equivalents.
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades
Team managers can quickly discover that their team has a low score ceiling even if they start their best active players.
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