List of works - Jeff Clune

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.

scientific article

Correction: Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills Throughout Their Lifetime

scientific article published on 22 December 2016

Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills throughout Their Lifetime

scientific article

Designing neural networks through neuroevolution

scientific article published on 29 December 2018

Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks.

scientific article published on 16 November 2017

Digital evolution with avida

Evolving coordinated quadruped gaits with the HyperNEAT generative encoding

Evolving neural networks that are both modular and regular

First return, then explore

scientific article published on 24 February 2021

How a Generative Encoding Fares as Problem-Regularity Decreases

article

How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation.

scientific article

How transferable are features in deep neural networks? ⬇️

scientific article published in January 2014

HybrID: A Hybridization of Indirect and Direct Encodings for Evolutionary Computation

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents ⬇️

scholarly article by Edoardo Conti et al published 2018 in Advances in Neural Information Processing Systems 31

Improving HybrID: How to best combine indirect and direct encoding in evolutionary algorithms

scientific article

Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2

scientific article published on 16 September 2020

Investigating whether hyperNEAT produces modular neural networks

Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes

scientific article

Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes

Neural modularity helps organisms evolve to learn new skills without forgetting old skills

scientific article

On the Performance of Indirect Encoding Across the Continuum of Regularity

article

Ontogeny tends to recapitulate phylogeny in digital organisms

scientific article published on 16 July 2012

Problem decomposition using indirect reciprocity in evolved populations

Reports on the 2013 AAAI Fall Symposium Series

Robots that can adapt like animals. ⬇️

scientific article published on May 2015

Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory

article

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks ⬇️

scientific article published in January 2016

The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System

scientific article published on 01 January 2018

The Evolution of Division of Labor

The Evolutionary Origins of Hierarchy ⬇️

scientific article

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

scientific article published on 09 April 2020

The evolutionary origins of modularity

scientific article published in 2013

The sensitivity of HyperNEAT to different geometric representations of a problem

Understanding Neural Networks via Feature Visualization: A Survey

scientific article published in 2019

WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web.

scientific article

List of works by Jeff Clune

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning.

Correction: Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills Throughout Their Lifetime

Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills throughout Their Lifetime

Designing neural networks through neuroevolution

Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks.

Digital evolution with avida

Evolving coordinated quadruped gaits with the HyperNEAT generative encoding

Evolving neural networks that are both modular and regular

First return, then explore

How a Generative Encoding Fares as Problem-Regularity Decreases

How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation.

How transferable are features in deep neural networks? ⬇️

HybrID: A Hybridization of Indirect and Direct Encodings for Evolutionary Computation

Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents ⬇️

Improving HybrID: How to best combine indirect and direct encoding in evolutionary algorithms

Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2

Investigating whether hyperNEAT produces modular neural networks

Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes

Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes

Neural modularity helps organisms evolve to learn new skills without forgetting old skills

On the Performance of Indirect Encoding Across the Continuum of Regularity

Ontogeny tends to recapitulate phylogeny in digital organisms

Problem decomposition using indirect reciprocity in evolved populations

Reports on the 2013 AAAI Fall Symposium Series

Robots that can adapt like animals. ⬇️

Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory

Synthesizing the preferred inputs for neurons in neural networks via deep generator networks ⬇️

The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System

The Evolution of Division of Labor

The Evolutionary Origins of Hierarchy ⬇️

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

The evolutionary origins of modularity

The sensitivity of HyperNEAT to different geometric representations of a problem

Understanding Neural Networks via Feature Visualization: A Survey

WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web.