1 citations · 2 across the 2 of their papers we have counts for
2 papers
math.NA2023★ 1 cited
Curvature Aligned Simplex Gradient: Principled Sample Set Construction For Numerical Differentiation
Daniel Lengyel, Panos Parpas, Nikolas Kantas +1
The simplex gradient, a popular numerical differentiation method due to its flexibility, lacks a principled method by which to construct the sample set, specifically the location o…
cs.LG2020★ 1 cited
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
Daniel Lengyel, Janith Petangoda, Isak Falk +5
We propose an efficient algorithm to visualise symmetries in neural networks. Typically, models are defined with respect to a parameter space, where non-equal parameters can produc…