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10/03/2022
Machine Learning-powered Course Allocation
We introduce a machine learning-powered course allocation mechanism. Con...
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04/24/2022
Piecewise-Linear Activations or Analytic Activation Functions: Which Produce More Expressive Neural Networks?
Many currently available universal approximation theorems affirm that de...
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10/07/2021
Universal Approximation Under Constraints is Possible with Transformers
Many practical problems need the output of a machine learning model to s...
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10/29/2020
Overcoming The Limitations of Neural Networks in Composite-Pattern Learning with Architopes
The effectiveness of neural networks in solving complex problems is well...
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06/24/2020