Author

Zhong-Jian Wang

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#artificial intelligence Preprint Oct 2026

Posterior sampling by source-space MCMC via prior-based few-step transport maps

Bayesian inference increasingly uses informative but implicit priors represented only by samples, such as historical ensembles, simulator outputs, and pretrained generative models. The same computational problem appears in the test-time guidance task (generalized Bayes), where an explicit positive weight, e.g., an expo...

Hoang Phuc Hau Luu, Marcelo Hartmann, Zhong-Jian Wang · 0 citations

#machine learning Preprint Sep 2026

Arbitrary-Accuracy Neural Approximation with Optimal Neuron Count and Near-Optimal Bit Complexity

We study the minimum number of hidden neurons required for arbitrary-accuracy approximation of multivariate H\"older-continuous functions on $[0,1]^d$ and the associated encoding complexity. For $d\geq 2$, we construct a fixed, explicitly defined activation function for which a closed-form network with two hidden layer...

Zi-Lan Cheng, Li-Lian Wang, Zhong-Jian Wang · 0 citations