Improved Elastic Weight Consolidation
An optimization-theoretic derivation of EWC and IEWC for continual learning
An optimization-theoretic derivation of EWC and IEWC for continual learning
A spatially and temporally local learning rule derived from a VICReg-style objective
An analytical approach to neural network initialization using covariance and eigendecomposition
Evaluating sparsity and gradient-reweighted updates as a mechanism for continual learning
A series of programming language projects exploring pattern matching, macro expansion, and interpreter design
Multivariate time series forecasting of photovoltaic electricity production in Germany