3 papers
cs.LG2026
Joint Flow Matching for Generator-Consistent Classification
Hayden McAlister, Lech Szymanski
We introduce Joint Flow Matching (JFM), a training framework for continuous normalising flows over multiple variables. Standard flow matching transports variables from noise to dat…
cs.LG2025
Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability
Hayden McAlister, Anthony Robins, Lech Szymanski
We extend the existing work on Hopfield network state classification, employing more complex models that remain interpretable, such as densely-connected feed-forward deep neural ne…
cs.NE2025
Sequential Learning in the Dense Associative Memory
Hayden McAlister, Anthony Robins, Lech Szymanski
Sequential learning involves learning tasks in a sequence, and proves challenging for most neural networks. Biological neural networks regularly conquer the sequential learning cha…