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Jeff Clune

Identifiers

  • name variant Jeff Clune 0.60 · backfill

Papers (34)

  1. Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents cs.AI · 2025 · author #5
  2. The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search cs.AI · 2025 · author #7
  3. Automated Design of Agentic Systems cs.AI · 2024 · author #3
  4. The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery cs.AI · 2024 · author #5
  5. Evolvability ES: Scalable and Direct Optimization of Evolvability cs.NE · 2019 · author #2
  6. Understanding Neural Networks via Feature Visualization: A survey cs.LG · 2019 · author #3
  7. Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions cs.NE · 2019 · author #3
  8. Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty cs.LG · 2018 · author #3
  9. An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents cs.NE · 2018 · author #10
  10. Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems cs.AI · 2018 · author #2
  11. VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution cs.NE · 2018 · author #2
  12. Differentiable plasticity: training plastic neural networks with backpropagation cs.NE · 2018 · author #2
  13. ES Is More Than Just a Traditional Finite-Difference Approximator cs.NE · 2017 · author #3
  14. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning cs.NE · 2017 · author #6
  15. On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent cs.NE · 2017 · author #2
  16. Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients cs.NE · 2017 · author #3
  17. Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents cs.AI · 2017 · author #6
  18. Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks cs.NE · 2017 · author #2
  19. The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System cs.NE · 2017 · author #3
  20. Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning cs.CV · 2017 · author #7
  21. Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes q-bio.PE · 2016 · author #2
  22. Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space cs.CV · 2016 · author #2
  23. Synthesizing the preferred inputs for neurons in neural networks via deep generator networks cs.NE · 2016 · author #5
  24. Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks cs.NE · 2016 · author #3
  25. Convergent Learning: Do different neural networks learn the same representations? cs.LG · 2015 · author #3
  26. How Evolution Learns to Generalise: Principles of under-fitting, over-fitting and induction in the evolution of developmental organisation q-bio.PE · 2015 · author #2
  27. Understanding Neural Networks Through Deep Visualization cs.CV · 2015 · author #2
  28. The evolutionary origins of hierarchy cs.NE · 2015 · author #4
  29. Illuminating search spaces by mapping elites cs.AI · 2015 · author #2
  30. Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images cs.CV · 2014 · author #3
  31. How transferable are features in deep neural networks? cs.LG · 2014 · author #2
  32. Robots that can adapt like animals cs.RO · 2014 · author #2
  33. Hands-free Evolution of 3D-printable Objects via Eye Tracking cs.NE · 2013 · author #2
  34. The evolutionary origins of modularity q-bio.PE · 2012 · author #1

Mentions

  • 2505.22954 #5 · arxiv_oai · confidence 0.70 Jeff Clune

Frequent Coauthors