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Ryan Zhou
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 6
Top Topics
Pruning Algorithms
Neural Network
Invariant Representation
Long Term
Top Venues
CoRR
CATA
GECCO Companion
GPTP
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Publications
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Ryan Zhou
,
Jaume Bacardit
,
Alexander E. I. Brownlee
,
Stefano Cagnoni
,
Martin Fyvie
,
Giovanni Iacca
,
John A. W. McCall
,
Niki van Stein
,
David Walker
,
Ting Hu
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems.
CoRR
(2024)
Herbie Bradley
,
Honglu Fan
,
Theodoros Galanos
,
Ryan Zhou
,
Daniel Scott
,
Joel Lehman
The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms.
GPTP
(2023)
Ryan Zhou
,
Ting Hu
Evolving Better Initializations For Neural Networks With Pruning.
GECCO Companion
(2023)
Ryan Zhou
,
Ting Hu
Evolutionary approaches to explainable machine learning.
CoRR
(2023)
Ryan Zhou
,
Christian Muise
,
Ting Hu
Permutation-Invariant Representation of Neural Networks with Neuron Embeddings.
EuroGP
(2022)
Maher Selim
,
Ryan Zhou
,
Wenying Feng
,
Omar Alam
Reducing error propagation for long term energy forecasting using multivariate prediction.
CATA
(2020)