18 citations · 56 across the 4 of their papers we have counts for
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stat.ML2020★ 17 cited
CoolMomentum: A Method for Stochastic Optimization by Langevin Dynamics with Simulated Annealing
Oleksandr Borysenko, Maksym Byshkin
Deep learning applications require global optimization of non-convex objective functions, which have multiple local minima. The same problem is often found in physical simulations…
cond-mat.soft2020★ 18 cited
Hybrid Particle-Field Molecular Dynamics Under Constant Pressure
Sigbjørn Løland Bore, Hima Bindu Kolli, Antonio De Nicola +4
Hybrid particle-field methods are computationally efficient approaches for modelling soft matter systems. So far applications of these methodologies have been limited to constant v…