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University of Vienna, Austrian Academy of Sciences
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Heavy-tailed estimators in Variational Monte Carlo can undermine convergence, but a new clipping method shows promise for robust optimization in electronic structure calculations.
Adaptive algorithms for $\tanh$ networks hit a hard ceiling in convergence rates due to finite precision, challenging assumptions about their learnability.
