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Found 3 papers, 1 papers with code
A method for quantifying the generalization capabilities of generative models for solving Ising models
Here we design a Hamming distance regularizer in the framework of a class of generative models, variational autoregressive networks (VAN), to quantify the generalization capabilities of various network architectures combined with VAN.
Message Passing Variational Autoregressive Network for Solving Intractable Ising Models
Many deep neural networks have been used to solve Ising models, including autoregressive neural networks, convolutional neural networks, recurrent neural networks, and graph neural networks.
Long-Term Person Re-identification with Dramatic Appearance Change: Algorithm and Benchmark
In addition, we propose a network named M2Net, which integrates multi-modality features from the RGB images, contour images and human parsing images.
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