2 citations · 2 across the 3 of their papers we have counts for
3 papers
ePC: Fast and Deep Predictive Coding in Digital Simulation
Cédric Goemaere, Gaspard Oliviers, Rafal Bogacz +1
Predictive Coding (PC) offers a brain-inspired alternative to backpropagation for neural network training, described as a physical system minimizing its internal energy. However, i…
Exploring the Temperature-Dependent Phase Transition in Modern Hopfield Networks
Felix Koulischer, Cédric Goemaere, Tom van der Meersch +2
The recent discovery of a connection between Transformers and Modern Hopfield Networks (MHNs) has reignited the study of neural networks from a physical energy-based perspective. T…
Accelerating Hopfield Network Dynamics: Beyond Synchronous Updates and Forward Euler
Cédric Goemaere, Johannes Deleu, Thomas Demeester
The Hopfield network serves as a fundamental energy-based model in machine learning, capturing memory retrieval dynamics through an ordinary differential equation (ODE). The model'…