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Aniruddha Rajendra Rao

Hitachi America Limited

10 papers hereh-index 9178 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • stat.ME2
  • eess.SP1
  • eess.SY1
affiliations
  • Hitachi America Limited

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedNon-linear Functional Modeling using Neural Networks

48 citations · 119 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

stat.ME2020★ 13 cited

Modern Multiple Imputation with Functional Data

Aniruddha Rajendra Rao, Matthew Reimherr

This work considers the problem of fitting functional models with sparsely and irregularly sampled functional data. It overcomes the limitations of the state-of-the-art methods, wh…

cs.LG2020★ 1 cited

A Non-linear Function-on-Function Model for Regression with Time Series Data

Qiyao Wang, Haiyan Wang, Chetan Gupta +2

In the last few decades, building regression models for non-scalar variables, including time series, text, image, and video, has attracted increasing interests of researchers from…

cs.LG2020

Spatio-Temporal Functional Neural Networks

Aniruddha Rajendra Rao, Qiyao Wang, Haiyan Wang +2

Explosive growth in spatio-temporal data and its wide range of applications have attracted increasing interests of researchers in the statistical and machine learning fields. The s…

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