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arXiv · 2506.02950

Interaction Field Matching: Overcoming Limitations of Electrostatic Models

Stepan I. Manukhov·Alexander Kolesov·Vladimir V. Palyulin·Alexander Korotin
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Abstract

Electrostatic field matching (EFM) has recently appeared as a novel physics-inspired paradigm for data generation and transfer using the idea of an electric capacitor. However, it requires modeling electrostatic fields using neural networks, which is non-trivial because of the necessity to take into account the complex field outside the capacitor plates. In this paper, we propose Interaction Field Matching (IFM), a generalization of EFM which allows using general interaction fields beyond the electrostatic one. Furthermore, inspired by strong interactions between quarks and antiquarks in physics, we design a particular interaction field realization which solves the problems which arise when modeling electrostatic fields in EFM. We show the performance on a series of toy and image data transfer problems. Our code is available at https://github.com/justkolesov/InteractionFieldMatching

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Stepan I. Manukhov, Alexander Kolesov, Vladimir V. Palyulin, Alexander Korotin. 2025-06-03. Interaction Field Matching: Overcoming Limitations of Electrostatic Models. https://arxiv.org/abs/2506.02950

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