1 citations · 3 across the 3 of their papers we have counts for
3 papers
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
Kislaya Ravi, Vladyslav Fediukov, Felix Dietrich +4
One of the main challenges in surrogate modeling is the limited availability of data due to resource constraints associated with computationally expensive simulations. Multi-fideli…
Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators
Atul Agrawal, Kislaya Ravi, Phaedon-Stelios Koutsourelakis +1
Constrained optimization of the parameters of a simulator plays a crucial role in a design process. These problems become challenging when the simulator is stochastic, computationa…
Multi-fidelity No-U-Turn Sampling
Kislaya Ravi, Tobias Neckel, Hans-Joachim Bungartz
Markov Chain Monte Carlo (MCMC) methods often take many iterations to converge for highly correlated or high-dimensional target density functions. Methods such as Hamiltonian Monte…