Event Videos
Pan Zhang: Solving Statistical Mechanics: From Mean Field to Neural Networks, then to Tensor Networks
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Markus Heyl: Quantum many-body dynamics in two dimensions with artificial neural networks
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Johan Mentink: Simulating ultrafast dynamics in two-dimensional Heisenberg antiferromagnets with artificial neural networks
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Fabien Alet: Combining RBM and Reptation QMC: application to a 2d bosonic model
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Marta Mauri: Neural Nets for Quantum Spin Systems Kets
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Tom Westerhout: Wavefunction sign structure generalization in frustrated magnets
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ShengHsuan Lin: Symmetries with Neural Autoregressive Quantum States
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Filippo Vincentini: Variational Neural Network Ansätze for Open Quantum Systems
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Juan Felipe Carrasquilla: Neural autoregressive toolbox for many-body physics
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