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Seyedramin Rasoulinezhad

The University of Sydney

4 papers hereh-index 7260 citations13 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR1
  • cs.CV1
  • cs.LG1
  • eess.SP1
affiliations
  • The University of Sydney
HomepageORCID 0000-0002-7366-8533

identity via Semantic Scholar / OpenAlex

most citedApplications and Techniques for Fast Machine Learning in Science

77 citations · 136 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2021★ 77 cited

Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana, Nhan Tran, Joshua Agar +84

In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into the real-time…

cs.CV2020★ 38 cited

NITI: Training Integer Neural Networks Using Integer-only Arithmetic

Maolin Wang, Seyedramin Rasoulinezhad, Philip H. W. Leong +1

While integer arithmetic has been widely adopted for improved performance in deep quantized neural network inference, training remains a task primarily executed using floating poin…

cs.AR2020★ 14 cited

LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations

SeyedRamin Rasoulinezhad, Siddhartha, Hao Zhou +3

We propose two tiers of modifications to FPGA logic cell architecture to deliver a variety of performance and utilization benefits with only minor area overheads. In the irst tier,…

eess.SP2020★ 7 cited

MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency

Seyedramin Rasoulinezhad, Sean Fox, Hao Zhou +3

Binarized neural networks (BNNs) have shown exciting potential for utilising neural networks in embedded implementations where area, energy and latency constraints are paramount. W…

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