15 citations · 16 across the 7 of their papers we have counts for
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cs.LG2026
Multivariate quantile regression via Kolmogorov-Arnold Networks
Andrew Polar, Michael Poluektov
This paper introduces a novel algorithm for predicting conditional joint distributions of vector-valued targets in stochastic systems whose randomness is intrinsic rather than aris…
cs.LG2025
Concurrent training methods for Kolmogorov-Arnold networks: Disjoint datasets and FPGA implementation
Andrew Polar, Michael Poluektov
The present paper introduces concurrency-driven enhancements to the training algorithm for the Kolmogorov-Arnold networks (KANs) that is based on the Newton-Kaczmarz (NK) method. P…
cs.LG2021
Probabilistic Kolmogorov-Arnold Network
Andrew Polar, Michael Poluektov
The Kolmogorov-Arnold network (KAN) is a regression model that is based on a representation of an arbitrary continuous multivariate function by a composition of functions of a sing…