most citedA Recipe for Learning Variably Scaled Kernels via Discontinuous Neural Networks

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cs.LG2024

GradINN: Gradient Informed Neural Network

Filippo Aglietti, Francesco Della Santa, Andrea Piano +1

We propose Gradient Informed Neural Networks (GradINNs), a methodology inspired by Physics Informed Neural Networks (PINNs) that can be used to efficiently approximate a wide range…

cs.LG2024★ 1 cited

Edge-Wise Graph-Instructed Neural Networks

Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini +1

The problem of multi-task regression over graph nodes has been recently approached through Graph-Instructed Neural Network (GINN), which is a promising architecture belonging to th…