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Hi there πŸ‘‹

I am Maxence Faldor, currently a research scientist intern at Sakana AI. I am pursuing a PhD at Imperial College London in the Adaptive and Intelligent Robotics lab. I am interested in 🧠 Artificial Intelligence ✨ Open-endedness 🦾 Robotics 🦎 Emergence. My research focuses on building open-ended and self-improving systems.

πŸ“„ Research Highlights

I am passionate about building intelligent systems that can learn, discover, and create in an open-ended fashion. Below are some of my projects in this area.

Google Scholar
OMNI-EPIC media OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code

Paper Code Website Post
AI CUDA Engineer media The AI CUDA Engineer: Agentic CUDA kernel discovery, optimization and composition

Paper Website Post
Learned QD media Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization

Paper Code Post
Leniabreeder media Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity

Paper Code Website Post
CAX media CAX: Cellular Automata Accelerated in JAX

Paper Code Google Colab Post

🎀 ICARL

ICARL logo

I am one of the organizers of ICARL (Imperial College Autonomous Reasoning & Learning), a student-led initiative at Imperial College London. Our goal is to foster a vibrant community for students and researchers interested in the future of AI.

Our main activities include:

  • πŸŽ₯ Seminar Series: We invite leading researchers from academia and industry (sponsored by Google DeepMind, InstaDeep, and Iconic) to share their work. Past talks are uploaded to our YouTube channel.
  • πŸ“š Reading Group: We meet bi-weekly to discuss recent publications in Deep Reinforcement Learning, Generative AI, and Autonomous Agents. The group is open to everyoneβ€”feel free to get in touch!

Follow our activities and join our community through our official channels:

Website X YouTube Email

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