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02/10/2022
Applications of Machine Learning to Lattice Quantum Field Theory
There is great potential to apply machine learning in the area of numeri...
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12/02/2021
HMC with Normalizing Flows
We propose using Normalizing Flows as a trainable kernel within the mole...
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12/02/2021
LeapfrogLayers: A Trainable Framework for Effective Topological Sampling
We introduce LeapfrogLayers, an invertible neural network architecture t...
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05/07/2021
