63 citations · 308 across the 48 of their papers we have counts for
3 papers · 1 filter
Improvements on uncertainty quantification with variational autoencoders
Andrea Tonini, Tan Bui-Thanh, Francesco Regazzoni +2
Inverse problems aim to determine model parameters of a mathematical problem from given observational data. Neural networks can provide an efficient tool to solve these problems. I…
Topological derivative approach for deep neural network architecture adaptation
C G Krishnanunni, Tan Bui-Thanh, Clint Dawson
This work presents a novel algorithm for progressively adapting neural network architecture along the depth. In particular, we attempt to address the following questions in a mathe…
LiLaN: A Linear Latent Network as the Solution Operator for Real-Time Solutions to Stiff Nonlinear Ordinary Differential Equations
William Cole Nockolds, C. G. Krishnanunni, Tan Bui-Thanh +1
Solving stiff ordinary differential equations (StODEs) requires sophisticated numerical solvers, which are often computationally expensive. In general, traditional explicit time in…