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A replication of Hamiltonian neural networks, connecting learned dynamics with an energy-based structure.

A replication about hierarchical shrinkage as regularization for tree-based predictive methods.

An R replication of a model of how learning can guide evolution, associated with the Baldwin effect.

A replication about calibration and predictive uncertainty in deep neural networks, including mixup in its source keywords.

A Julia replication of an ecological population model concerning regulation by insect natural enemies.

A replication about signal propagation and balanced amplification in a large-scale primate-cortex circuit model; the metadata identifies NEST.

A replication about graph representations and fairness-aware data augmentation, with separate upstream code and data records.

A replication of learning-based PDE solvers with convergence guarantees as the target topic.

An R replication of least-cost modeling on irregular landscape graphs using graph and triangulation concepts.

A replication about depolarization block and sodium-channel inactivation in a model of midbrain dopamine neurons.

A replication concerning measures of contextual modulation in information transmission.

A replication of a thalamocortical network model whose subject is slow sleep oscillations and transitions between activity states.