◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Luke B. Godfrey

4 papers hereh-index 5154 citations8 works total

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

author position
  • first author4

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

fields
  • cs.NE4

identity via Semantic Scholar / OpenAlex

activity
20162018
most citedNeural Decomposition of Time-Series Data for Effective Generalization

58 citations · 60 across the 4 of their papers we have counts for

collaborators
Showing 2017Show all

2 papers · 1 filter

cs.NE2017

A parameterized activation function for learning fuzzy logic operations in deep neural networks

Luke B. Godfrey, Michael S. Gashler

We present a deep learning architecture for learning fuzzy logic expressions. Our model uses an innovative, parameterized, differentiable activation function that can learn a numbe…

cs.NE2017★ 58 cited

Neural Decomposition of Time-Series Data for Effective Generalization

Luke B. Godfrey, Michael S. Gashler

We present a neural network technique for the analysis and extrapolation of time-series data called Neural Decomposition (ND). Units with a sinusoidal activation function are used…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.