3 papers
cs.LG2026
Dendritic Neural Networks with Equilibrium Propagation
Yoshimasa Kubo
Equilibrium propagation (EP) is a biologically plausible alternative to backpropagation (BP), but its effectiveness can degrade in deeper and more challenging learning settings. In…
cs.LG2026
Heterogeneous Time Constants Improve Stability in Equilibrium Propagation
Yoshimasa Kubo, Suhani Pragnesh Modi, Smit Patel
Equilibrium propagation (EP) is a biologically plausible alternative to backpropagation for training neural networks. However, existing EP models use a uniform scalar time step dt,…
cs.LG2025
Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced Stability
Yoshimasa Kubo, Jean Erik Delanois, Maxim Bazhenov
Recurrent neural networks (RNNs) trained using Equilibrium Propagation (EP), a biologically plausible training algorithm, have demonstrated strong performance in various tasks such…