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researcher

Michael Kampffmeyer

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.ML2
ORCID 0000-0002-7699-0405

identity via Semantic Scholar / OpenAlex

most citedDeep Divergence-Based Approach to Clustering

82 citations · 84 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2019★ 2 cited

Learning Latent Representations of Bank Customers With The Variational Autoencoder

Rogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas +1

Learning data representations that reflect the customers' creditworthiness can improve marketing campaigns, customer relationship management, data and process management or the cre…

stat.ML2019★ 82 cited

Deep Divergence-Based Approach to Clustering

Michael Kampffmeyer, Sigurd Løkse, Filippo M. Bianchi +3

A promising direction in deep learning research consists in learning representations and simultaneously discovering cluster structure in unlabeled data by optimizing a discriminati…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.