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Dian Wu
Dian Wu
PhD student at EPFL CQSL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Solving Statistical Mechanics Using Variational Autoregressive Networks
D Wu, L Wang, P Zhang
Physical Review Letters 122 (8), 080602, 2019
2162019
NetKet 3: Machine learning toolbox for many-body quantum systems
F Vicentini, D Hofmann, A Szabó, D Wu, C Roth, C Giuliani, G Pescia, ...
SciPost Physics Codebases, 007, 2022
972022
Unbiased Monte Carlo cluster updates with autoregressive neural networks
D Wu, R Rossi, G Carleo
Physical Review Research 3 (4), L042024, 2021
322021
Variational benchmarks for quantum many-body problems
D Wu, R Rossi, F Vicentini, N Astrakhantsev, F Becca, X Cao, ...
arXiv preprint arXiv:2302.04919, 2023
272023
From tensor-network quantum states to tensorial recurrent neural networks
D Wu, R Rossi, F Vicentini, G Carleo
Physical Review Research 5 (3), L032001, 2023
232023
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
HY Hu, D Wu, YZ You, B Olshausen, Y Chen
Machine Learning: Science and Technology 3 (3), 035009, 2022
152022
A machine learning strategy for enhancing the strength and toughness in metal matrix composites
Z Zhong, J An, D Wu, N Gao, L Liu, Z Wang, F Meng, X Zhou, T Fan
International Journal of Mechanical Sciences, 109550, 2024
2024
Unveiling nonmagnetic phase and many-body entanglement in two-dimensional random quantum magnets SrCuTeWO
D Wu, F Yang, G Carleo
arXiv preprint arXiv:2407.05917, 2024
2024
Sparse Autoregressive Neural Networks for Classical Spin Systems
I Biazzo, D Wu, G Carleo
Machine Learning: Science and Technology, 2024
2024
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Articles 1–9