1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
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…
cs.LG2023★ 1 cited
Training a Hopfield Variational Autoencoder with Equilibrium Propagation
Tom Van Der Meersch, Johannes Deleu, Thomas Demeester
On dedicated analog hardware, equilibrium propagation is an energy-efficient alternative to backpropagation. In spite of its theoretical guarantees, its application in the AI domai…