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Nathan Oken Hodas

Pacific Northwest National Laboratory

17 papers hereh-index 122.1k citations27 works total

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

author position
  • first author5
  • middle author4
  • last author8

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.HC4
  • cs.SI4
  • stat.ML3
  • cs.LG2
  • cs.CL1
  • cs.CY1
affiliations
  • Pacific Northwest National Laboratory
same name
  • Nathan Oken Hodas — 15 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122021
most citedThe Simple Rules of Social Contagion

246 citations · 640 across the 16 of their papers we have counts for

collaborators
Showing 2017 · stat.MLShow all

3 papers · 2 filters

stat.ML2017★ 5 cited

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction

Garrett B. Goh, Charles Siegel, Abhinav Vishnu +1

With access to large datasets, deep neural networks (DNN) have achieved human-level accuracy in image and speech recognition tasks. However, in chemistry, data is inherently small…

stat.ML2017★ 115 cited

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models

Garrett B. Goh, Charles Siegel, Abhinav Vishnu +2

In the last few years, we have seen the transformative impact of deep learning in many applications, particularly in speech recognition and computer vision. Inspired by Google's In…

stat.ML2017★ 49 cited

Deep Learning for Computational Chemistry

Garrett B. Goh, Nathan O. Hodas, Abhinav Vishnu

The rise and fall of artificial neural networks is well documented in the scientific literature of both computer science and computational chemistry. Yet almost two decades later,…

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