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T. Sutter

2 papers hereh-index 9449 citations41 works total

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
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedGeneration of Differentially Private Heterogeneous Electronic Health Records

8 citations · 8 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021

Generalized Multimodal ELBO

Thomas M. Sutter, Imant Daunhawer, Julia E. Vogt

Multiple data types naturally co-occur when describing real-world phenomena and learning from them is a long-standing goal in machine learning research. However, existing self-supe…

cs.LG2020★ 8 cited

Generation of Differentially Private Heterogeneous Electronic Health Records

Kieran Chin-Cheong, Thomas Sutter, Julia E. Vogt

Electronic Health Records (EHRs) are commonly used by the machine learning community for research on problems specifically related to health care and medicine. EHRs have the advant…

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