Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and Manipulation. - Arjun Karuvally; Peter DelMastro; Hava T. Siegelmann (TAG-ML, 2023)

On the Dynamics of Learning Time-Aware Behavior with Recurrent Neural Networks. - Peter DelMastro; Rushiv Arora; Edward A. Rietman; Hava T. Siegelmann (CoRR, 2023)

Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks. - Arjun Karuvally; Peter DelMastro; Hava T. Siegelmann (CoRR, 2023)

Inexact subspace projection methods for low-rank tensor eigenvalue problems. - Alec Dektor; Peter DelMastro; Erika Ye; Roel Van Beeumen; Chao Yang (CoRR, 2025)

Transient Dynamics in Lattices of Differentiating Ring Oscillators. - Peter DelMastro; Arjun Karuvally; Hananel Hazan; Hava T. Siegelmann; Edward A. Rietman (CoRR, 2025)

Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators. - Alexander Yeung; Peter DelMastro; Arjun Karuvally; Hava T. Siegelmann; Edward A. Rietman; Hananel Hazan (CoRR, 2025)