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Institute for Machine Learning (Ellis Unit), Johannes Kepler University, Linz, Mistral AI, Paris, France
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Achieving zero-variance estimators in stochastic systems by eliminating non-adiabatic lag could revolutionize free energy estimation techniques.
GyroFlow achieves rapid and accurate generation of steady-state turbulence statistics without the need for resolving transient dynamics, revolutionizing how we approach gyrokinetic simulations.
Achieve up to 7% performance gains in out-of-distribution simulation tasks by adapting high-dimensional surrogates at test time using D-optimal statistics.
