3 papers
hep-lat2026
Stochastic Path Sampler For Lattice Field Theory
Shiyang Chen, Moxian Qian, Gert Aarts +2
In lattice field theory, target distributions are known only up to normalization, (\tildeÏ(Ï)\propto e^{-S(Ï)}), while the partition function is intractable. Markov chain Monte…
hep-th2026
The neural networks with tensor weights and emergent fermionic Wick rules in the large-width limit
Guojun Huang, Kai Zhou
In this paper, we study complex-valued neural network (CVNNs) with tensor-valued hidden-to-output weights within the framework of neural-network quantum field theory (NN-QFT). For…
eess.SP2025
A Review of Machine Learning for Cavitation Intensity Recognition in Complex Industrial Systems
Yu Sha, Ningtao Liu, Haofeng Liu +10
Cavitation intensity recognition (CIR) is a critical technology for detecting and evaluating cavitation phenomena in hydraulic machinery, with significant implications for operatio…