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approximation property

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stochastic computing (1) energy complexity (1) transformer expressive power (1) separation power (1) graph neural network (1) weisfeiler-leman test (1) feed-forward layer (1) binary neural network (1) message passing neural network (1) deep belief network (1)

Papers

Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling NeurIPS 2024 Expressiveness and Approximation Properties of Graph Neural Networks ICLR 2022 Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks AAAI 2019 Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013