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Nada Lavrač
ورقتان في مجموعة PaperMetrix
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HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks
2025 · arXiv (Cornell University)
Construction of neural network architectures suitable for learning from both continuous and discrete tabular data is a challenging research endeavor. Contemporary high-dimensional tabular data sets are often characterized by a relatively small instance count, requiring …