15 citations · 15 across the 4 of their papers we have counts for
5 papers
Normative Loss Landscape Navigation: A Trajectory-Based Approach to Mitigating Forgetting in Incremental Learning
Isabelle Aguilar, Zayn Andre Zainal, Luis Fernando Herbozo Contreras +2
Continual learning models suffer from catastrophic forgetting when trained sequentially on non-stationary data distributions. Previously, this has been addressed through weight reg…
Metaplasticity as adaptive gradient preconditioning for incremental learning
Isabelle Aguilar, Zayn Andre Zainal, Omid Kavehei
Biological intelligence naturally prevents catastrophic forgetting through Complementary Learning Systems (CLS) theory, a macroscopic consolidation process driven at the local leve…
Learning with Spike Synchrony in Spiking Neural Networks
Yuchen Tian, Assel Kembay, Samuel Tensingh +3
Spiking neural networks (SNNs) promise energy-efficient computation by mimicking biological neural dynamics, yet existing plasticity rules focus on isolated spike pairs and fail to…
Stochastic Engrams for Efficient Continual Learning
Isabelle Aguilar, Luis Fernando Herbozo Contreras, Omid Kavehei
The ability to learn continuously in artificial neural networks (ANNs) is often limited by catastrophic forgetting, a phenomenon in which new knowledge becomes dominant. By taking…
A Predictive Approach To Enhance Time-Series Forecasting
Skye Gunasekaran, Assel Kembay, Hugo Ladret +4
Accurate time-series forecasting is crucial in various scientific and industrial domains, yet deep learning models often struggle to capture long-term dependencies and adapt to dat…