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Raghavendra Chalapathy

7 papers hereh-index 93.1k citations13 works total

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

author position
  • first author7

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CL2
  • cs.CV1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20162019
most citedDeep Learning for Anomaly Detection: A Survey

1.2k citations · 1.5k across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2019★ 1.2k cited

Deep Learning for Anomaly Detection: A Survey

Raghavendra Chalapathy, Sanjay Chawla

Anomaly detection is an important problem that has been well-studied within diverse research areas and application domains. The aim of this survey is two-fold, firstly we present a…

cs.LG2018★ 187 cited

Anomaly Detection using One-Class Neural Networks

Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla

We propose a one-class neural network (OC-NN) model to detect anomalies in complex data sets. OC-NN combines the ability of deep networks to extract a progressively rich representa…

cs.LG2017

Robust, Deep and Inductive Anomaly Detection

Raghavendra Chalapathy, Aditya Krishna Menon, Sanjay Chawla

PCA is a classical statistical technique whose simplicity and maturity has seen it find widespread use as an anomaly detection technique. However, it is limited in this regard by b…

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