2 citations · 2 across the 5 of their papers we have counts for
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cs.LG2026
An optimal control approach for neural network architecture adaptation with a posteriori error estimation
C G Krishnanunni, Thomas Scott, Tan Bui-Thanh
This work presents a novel approach for adapting neural network architecture along the depth based on a posteriori error estimation. By formulating neural network training as a con…
cs.LG2025
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…
cs.LG2022★ 2 cited
An Adaptive and Stability-Promoting Layerwise Training Approach for Sparse Deep Neural Network Architecture
C G Krishnanunni, Tan Bui-Thanh
This work presents a two-stage adaptive framework for progressively developing deep neural network (DNN) architectures that generalize well for a given training data set. In the fi…