Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
This folder collects the core code and minimal references needed to understand and reproduce my 2025 honours work on non-linear reduced-order modelling of PDEs using autoencoders and POD/FEM ...
Official implementation of FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds (Pegoraro et al., 2025 — accepted at ICML 2026). Concretely, a Perceiver-based ...
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