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Who am I?

  • 👨‍🎓 PhD student working on Hopfield networks
  • 🏛 Ghent University + imec + FWO
  • 🤝 Supervised by prof. Thomas Demeester and Johannes Deleu

Research interests

  • 🎯 Primary goal: stable training of large Hopfield networks
  • 💡 Interested in Deep Equilibrium Models (DEQs) and advanced training strategies for deep neural networks.
  • 🌈 Ultimate goal: Hopfield networks + analog electronics + Equilibrium Propagation = ⚡🧠
  • 👀 Tracks developments in NLP, Predictive Coding and Active Inference

Feel free to reach out for collaboration, questions, or discussions related to my research and projects.

Cédric Goemaere's Projects

hamdeq icon hamdeq

Code for the paper "Accelerating Hierarchical Associative Memory: A Deep Equilibrium Approach", accepted at the AMHN workshop at NeurIPS, 2023.

probabilisticdeminingrobot icon probabilisticdeminingrobot

Simulation of a demining robot with a probabilistic search algorithm [Created for Robotics course in December, 2020]

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