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researcher

Iulia-Alexandra Lungu

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

fields
  • cs.CV1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedTheory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks

102 citations · 102 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2017

NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps

Alessandro Aimar, Hesham Mostafa, Enrico Calabrese +8

Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many state-of-the-art (SOA) visual processing tasks. Even though Graphical Pro…

stat.ML2016★ 102 cited

Theory and Tools for the Conversion of Analog to Spiking Convolutional Neural Networks

Bodo Rueckauer, Iulia-Alexandra Lungu, Yuhuang Hu +1

Deep convolutional neural networks (CNNs) have shown great potential for numerous real-world machine learning applications, but performing inference in large CNNs in real-time rema…

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