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S. Shah

3 papers hereh-index 29 citations11 works total

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

author position
  • sole author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.dis-nn1
  • cs.LG1
  • hep-th1
same name
  • S. Shah — 18 papers, h 4
  • S. Shah — 10 papers
  • S. Shah — 6 papers, h 19
  • S. Shah — 4 papers, h 5
  • S. Shah — 4 papers, h 7
  • S. Shah — 4 papers, h 15

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedVariational approach to unsupervised learning

5 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

hep-th2024

Quasinormal Modes of Near-Extremal Electric and Magnetic Black Branes

Swapnil Nitin Shah

Gauge-gravity duality provides a robust mathematical framework for studying the behavior of strongly coupled non-abelian plasmas both near and far away from thermodynamic equilibri…

cs.LG2020

Addressing the interpretability problem for deep learning using many valued quantum logic

Swapnil Nitin Shah

Deep learning models are widely used for various industrial and scientific applications. Even though these models have achieved considerable success in recent years, there exists a…

cond-mat.dis-nn2019★ 5 cited

Variational approach to unsupervised learning

Swapnil Nitin Shah

Deep belief networks are used extensively for unsupervised stochastic learning on large datasets. Compared to other deep learning approaches their layer-by-layer learning makes the…

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