3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Horizon Activation Mapping for Neural Networks in Time Series Forecasting
Krupakar Hans, V A Kandappan
Neural networks for time series forecasting have relied on error metrics and architecture-specific interpretability approaches for model selection that don't apply across models of…
math.NA2022★ 3 cited
HODLRD: A new Black-box fast algorithm for -body problems in -dimensions with guaranteed error bounds
Ritesh Khan, V A Kandappan, Sivaram Ambikasaran
In this article, we prove new theorems bounding the rank of different sub-matrices arising from these kernel functions. Bounds like these are often useful for analyzing the complex…
math.NA2022
HODLR2D: A new class of Hierarchical matrices
V A Kandappan, Vaishnavi Gujjula, Sivaram Ambikasaran
This article introduces HODLR2D, a new hierarchical low-rank representation for a class of dense matrices arising out of body problems in two dimensions. Using this new hierarc…