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researcher

Nate Derbinsky

3 papers hereh-index 12423 citations43 works total

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

author position
  • middle author3

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

fields
  • cs.DC1
  • cs.LG1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

most citedThe Boundary Forest Algorithm for Online Supervised and Unsupervised Learning

8 citations · 8 across the 1 of their papers we have counts for

collaborators

3 papers

cs.DC2016

Testing fine-grained parallelism for the ADMM on a factor-graph

Ning Hao, AmirReza Oghbaee, Mohammad Rostami +2

There is an ongoing effort to develop tools that apply distributed computational resources to tackle large problems or reduce the time to solve them. In this context, the Alternati…

cs.LG2015★ 8 cited

The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning

Charles Mathy, Nate Derbinsky, José Bento +2

We describe a new instance-based learning algorithm called the Boundary Forest (BF) algorithm, that can be used for supervised and unsupervised learning. The algorithm builds a for…

cs.RO2015

Proximal operators for multi-agent path planning

José Bento, Nate Derbinsky, Charles Mathy +1

We address the problem of planning collision-free paths for multiple agents using optimization methods known as proximal algorithms. Recently this approach was explored in Bento et…

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