27 citations · 66 across the 8 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cond-mat.stat-mech2020★ 12 cited
Eigenstate thermalization scaling in approaching the classical limit
Goran Nakerst, Masudul Haque
According to the eigenstate thermalization hypothesis (ETH), the eigenstate-to-eigenstate fluctuations of expectation values of local observables should decrease with increasing sy…
cs.LG2020★ 5 cited
Gradient descent with momentum --- to accelerate or to super-accelerate?
Goran Nakerst, John Brennan, Masudul Haque
We consider gradient descent with `momentum', a widely used method for loss function minimization in machine learning. This method is often used with `Nesterov acceleration', meani…