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J. Kaiser

4 papers here

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cond-mat.mes-hall2
  • cs.ET2
same name
  • J. Kaiser — 2 papers
  • J. Kaiser — 1 paper, h 2
  • J. Kaiser — 1 paper, h 5
  • J. Kaiser — 1 paper

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

most citedDemonstration of nanosecond operation in stochastic magnetic tunnel junctions

123 citations · 146 across the 2 of their papers we have counts for

collaborators

4 papers

cond-mat.mes-hall2020★ 123 cited

Demonstration of nanosecond operation in stochastic magnetic tunnel junctions

Christopher Safranski, Jan Kaiser, Philip Trouilloud +3

Magnetic tunnel junctions operating in the superparamagnetic regime are promising devices in the field of probabilistic computing, which is suitable for applications like high-dime…

cs.ET2020

Hardware Design for Autonomous Bayesian Networks

Rafatul Faria, Jan Kaiser, Kerem Y. Camsari +1

Directed acyclic graphs or Bayesian networks that are popular in many AI related sectors for probabilistic inference and causal reasoning can be mapped to probabilistic circuits bu…

cs.ET2019★ 23 cited

Probabilistic Circuits for Autonomous Learning: A simulation study

Jan Kaiser, Rafatul Faria, Kerem Y. Camsari +1

Modern machine learning is based on powerful algorithms running on digital computing platforms and there is great interest in accelerating the learning process and making it more e…

cond-mat.mes-hall2019

Subnanosecond Fluctuations in Low-Barrier Nanomagnets

Jan Kaiser, Avinash Rustagi, Kerem Y. Camsari +3

Fast magnetic fluctuations due to thermal torques have useful technological functionality ranging from cryptography to probabilistic computing. The characteristic time of fluctuati…

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