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Ata Akbari Asanjan

3 papers here

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • quant-ph1
ORCID 0000-0002-8691-8212

identity via Semantic Scholar / OpenAlex

most citedAssessing and Advancing the Potential of Quantum Computing: A NASA Case Study

17 citations · 19 across the 3 of their papers we have counts for

collaborators

3 papers

quant-ph2024★ 17 cited

Assessing and Advancing the Potential of Quantum Computing: A NASA Case Study

Eleanor G. Rieffel, Ata Akbari Asanjan, M. Sohaib Alam +20

Quantum computing is one of the most enticing computational paradigms with the potential to revolutionize diverse areas of future-generation computational systems. While quantum co…

cs.AI2024★ 2 cited

Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization

Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan +5

Recent Large Language Models (LLMs) have demonstrated impressive capabilities at tasks that require human intelligence and are a significant step towards human-like artificial inte…

cs.LG2023

Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model

Thomas Templin, Milad Memarzadeh, Walter Vinci +4

Deep generative learning cannot only be used for generating new data with statistical characteristics derived from input data but also for anomaly detection, by separating nominal…

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