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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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1 result for “FermiNet”

Convergence to the fixed-node limit in deep variational Monte Carlophysics.comp-ph

Deep QMC ansatzes improve variational QMC accuracy.

problem Improving variational QMC accuracy with neural network ansatzes.

method Analysis of deep neural network ansatzes PauliNet and FermiNet convergence to fixed-node limit.

result Deep QMC ansatzes can reach fixed-node limit with large network sizes.

deep QMC variational QMC fixed-node limit PauliNet FermiNet

2020-10-11abs ↗pdf ↗