16 citations · 32 across the 6 of their papers we have counts for
12 papers
Upper Generalization Bounds for Neural Oscillators
Zifeng Huang, Konstantin M. Zuev, Yong Xia +1
Neural oscillators that originate from second-order ordinary differential equations (ODEs) have shown competitive performance in learning mappings between dynamic loads and respons…
Upper Approximation Bounds for Neural Oscillators
Zifeng Huang, Konstantin M. Zuev, Yong Xia +1
Neural oscillators, originating from second-order ordinary differential equations (ODEs), have demonstrated strong performance in stably learning causal mappings between long-term…
Random hyperbolic graphs in dimensions
Gabriel Budel, Maksim Kitsak, Rodrigo Aldecoa +2
We consider random hyperbolic graphs in hyperbolic spaces of any dimension . We present a rescaling of model parameters that casts the random hyperbolic graph model of a…
History matching with probabilistic emulators and active learning
Alfredo Garbuno-Inigo, F. Alejandro DiazDelaO, Konstantin M. Zuev
The scientific understanding of real-world processes has dramatically improved over the years through computer simulations. Such simulators represent complex mathematical models th…
Efficient Pricing of Barrier Options on High Volatility Assets using Subset Simulation
Keegan Mendonca, Vasileios E. Kontosakos, Athanasios A. Pantelous +1
Barrier options are one of the most widely traded exotic options on stock exchanges. In this paper, we develop a new stochastic simulation method for pricing barrier options and es…
Navigability of Random Geometric Graphs in the Universe and Other Spacetimes
William Cunningham, Konstantin Zuev, Dmitri Krioukov
Random geometric graphs in hyperbolic spaces explain many common structural and dynamical properties of real networks, yet they fail to predict the correct values of the exponents…