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researcher

J. Levenberg

2 papers hereh-index 431.7k citations6 works total

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

author position
  • middle author2

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

fields
  • cs.DC1
  • cs.PL1

identity via Semantic Scholar / OpenAlex

most citedTensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning

52 citations · 52 across the 1 of their papers we have counts for

collaborators

2 papers

cs.PL2019★ 52 cited

TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning

Akshay Agrawal, Akshay Naresh Modi, Alexandre Passos +8

TensorFlow Eager is a multi-stage, Python-embedded domain-specific language for hardware-accelerated machine learning, suitable for both interactive research and production. Tensor…

cs.DC2016

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Martín Abadi, Ashish Agarwal, Paul Barham +37

TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed…

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