Zang, J., Medvidović, M., Kiese, D., Di Sante, D., Sengupta, A. M., & Millis, A. J. (2024). Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function.
Chicago Style (17th ed.) CitationZang, Jiawei, Matija Medvidović, Dominik Kiese, Domenico Di Sante, Anirvan M. Sengupta, and Andrew J. Millis. Machine Learning-based Compression of Quantum Many Body Physics: PCA and Autoencoder Representation of the Vertex Function. 2024.
MLA (9th ed.) CitationZang, Jiawei, et al. Machine Learning-based Compression of Quantum Many Body Physics: PCA and Autoencoder Representation of the Vertex Function. 2024.
Warning: These citations may not always be 100% accurate.