Arjun Karuvally

14 papers A* 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TopoBench: Benchmarking LLMs on Hard Topological Reasoning. CoRR Mayug Maniparambil, Nils Hoehing, Janak Kapuriya, Arjun Karuvally, Ellen Rushe, Anthony Ventresque, Noel E. O'Connor, Fergal Reid
2025	J	`jnl`	Bridging Expressivity and Scalability with Adaptive Unitary SSMs. CoRR Arjun Karuvally, Franz Nowak, Thomas A. Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann
2025	J	`jnl`	Exponential Dynamic Energy Network for High Capacity Sequence Memory. CoRR Arjun Karuvally, Pichsinee Lertsaroj, Terrence J. Sejnowski, Hava T. Siegelmann
2025	J	`jnl`	Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators. CoRR Alexander Yeung, Peter DelMastro, Arjun Karuvally, Hava T. Siegelmann, Edward A. Rietman, Hananel Hazan
2025	J	`jnl`	Transient Dynamics in Lattices of Differentiating Ring Oscillators. CoRR Peter DelMastro, Arjun Karuvally, Hananel Hazan, Hava T. Siegelmann, Edward A. Rietman
2024	A*	`conf`	Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. ICML Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
2024	J	`jnl`	Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. CoRR Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
2023	J	`jnl`	Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks. CoRR Arjun Karuvally, Peter DelMastro, Hava T. Siegelmann
2023	—	`conf`	Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and Manipulation. TAG-ML Arjun Karuvally, Peter DelMastro, Hava T. Siegelmann
2023	A*	`conf`	General Sequential Episodic Memory Model. ICML Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
2023	J	`jnl`	Model Complexity of Program Phases. CoRR Arjun Karuvally, J. Eliot B. Moss
2022	J	`jnl`	Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit. CoRR Arjun Karuvally, Terry J. Sejnowski, Hava T. Siegelmann
2019	—	`conf`	Learning proposals for sequential importance samplers using reinforced variational inference. DeepRLStructPred@ICLR Zafarali Ahmed, Arjun Karuvally, Doina Precup, Simon Gravel
2018	J	`jnl`	A Study into the similarity in generator and discriminator in GAN architecture. CoRR Arjun Karuvally