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Physical Review D

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Phys. Rev. D (2)Progress of Theoretical and Experimental Physics (1)

Articles Citing

Addressing the sign problem in Euclidean path integrals with radial basis function neural networks

Department of Physics, Yonsei University, Seoul 03722, Korea

On the Solution of Euclidean Path Integrals with Neural Networks

Gábor Balassa

Progress of Theoretical and Experimental Physics 2026 033A01 (2026)

Approximating Grassmann valued path integrals with radial basis function neural networks

Gábor Balassa

Phys. Rev. D 114 036024 (2026)

Neural network expansion of Euclidean path integrals and its application to interacting scalar fields

Gábor Balassa

Phys. Rev. D 113 116036 (2026)

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ISSN 2470-0029 (online), 2470-0010 (print).

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