A Study into the similarity in generator and discriminator in GAN architecture. - Arjun Karuvally (CoRR, 2018)

Learning proposals for sequential importance samplers using reinforced variational inference. - Zafarali Ahmed; Arjun Karuvally; Doina Precup; Simon Gravel (DeepRLStructPred@ICLR, 2019)

Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit. - Arjun Karuvally; Terry J. Sejnowski; Hava T. Siegelmann (CoRR, 2022)

General Sequential Episodic Memory Model. - Arjun Karuvally; Terrence J. Sejnowski; Hava T. Siegelmann (ICML, 2023)

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)

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

Model Complexity of Program Phases. - Arjun Karuvally; J. Eliot B. Moss (CoRR, 2023)

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. - Arjun Karuvally; Terrence J. Sejnowski; Hava T. Siegelmann (ICML, 2024)

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

Bridging Expressivity and Scalability with Adaptive Unitary SSMs. - Arjun Karuvally; Franz Nowak; Thomas A. Keller 001; Carmen Amo Alonso; Terrence J. Sejnowski; Hava T. Siegelmann (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)