Konstantinos Makantasis

Explicitly constraining class geometry with differentiable prototypes significantly boosts tensor neural network performance under extreme label scarcity, particularly through training-time regularization.

Causal supervision in attention mechanisms can drastically improve emotion recognition by focusing on invariant facial features, leading to a significant boost in predictive performance.