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Found 3 papers, 1 papers with code
Probabilistic and Differentiable Wireless Simulation with Geometric Transformers
Modelling the propagation of electromagnetic signals is critical for designing modern communication systems.
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
In recent years, solving optimization problems involving black-box simulators has become a point of focus for the machine learning community due to their ubiquity in science and engineering.
End-to-end Learning of Deterministic Decision Trees
Conventional decision trees have a number of favorable properties, including interpretability, a small computational footprint and the ability to learn from little training data.
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