The stochastic reaction network in which chemical species evolve through a set of reactions is widely used to model stochastic processes in physics, chemistry and biology. To characterize the evolving ...
Neural networks need the right representations of input data to learn. Here we ask how gradient-based learning shapes a fundamental property of representations in recurrent neural networks ...
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