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researcher

Jacob Schrum

Southwestern University

13 papers hereh-index 16919 citations51 works total

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

author position
  • first author5
  • middle author2
  • last author6

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.NE5
  • cs.AI3
  • cs.LG2
  • physics.comp-ph2
  • cs.CE1
affiliations
  • Southwestern University
Homepage

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedCPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation

26 citations · 29 across the 8 of their papers we have counts for

collaborators
Showing 2018Show all

1 paper · 1 filter

cs.AI2018

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Vanessa Volz, Jacob Schrum, Jialin Liu +3

Generative Adversarial Networks (GANs) are a machine learning approach capable of generating novel example outputs across a space of provided training examples. Procedural Content…

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