1 citations · 1 across the 7 of their papers we have counts for
7 papers
Series of quasi-uniform scatterings with fast search, root systems and neural network classifications
Igor V. Netay
In this paper we describe an approach to construct large extendable collections of vectors in predefined spaces of given dimensions. These collections are useful for neural network…
Algorithms and data structures for automatic precision estimation of neural networks
Igor V. Netay
We describe algorithms and data structures to extend a neural network library with automatic precision estimation for floating point computations. We also discuss conditions to mak…
Geometrical structures of digital fluctuations in parameter space of neural networks trained with adaptive momentum optimization
Igor V. Netay
We present results of numerical experiments for neural networks with stochastic gradient-based optimization with adaptive momentum. This widely applied optimization has proved conv…
Algorithms and data structures for numerical computations with automatic precision estimation
Igor V. Netay
We introduce data structures and algorithms to count numerical inaccuracies arising from usage of floating numbers described in IEEE 754. Here we describe how to estimate precision…
Hashing geographical point data using the space-filling H-curve
Igor V. Netay
We construct geohashing procedure based on using of space-filling H-curve. This curve provides a way to construct geohash with less computations than the construction based on usag…
Cyclic space-filling curves and their clustering property
Igor V. Netay
In this paper we introduce an algorithm of construction of cyclic space-filling curves. One particular construction provides a family of space-filling curves in all dimensions (H-c…
Syzygies of Quadratic Veronese Embedding
I. V. Netay
In this work we explicitly calculate syzygies of quadratic Veronese embedding as representations of the group $\operatorname…