Arjun Karuvally

According to our database, Arjun Karuvally authored at least 14 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

When RL Suppresses Its Own Vocabulary: Recovering Reasoning Diversity in Puzzle-to-Math Transfer.

Mayug Maniparambil, Arjun Karuvally, Terrence J. Sejnowski, Fergal Reid

CoRR, May, 2026

TopoBench: Benchmarking LLMs on Hard Topological Reasoning.

Mayug Maniparambil, Nils Hoehing, Janak Kapuriya, Arjun Karuvally, Ellen Rushe, Anthony Ventresque, Noel E. O'Connor, Fergal Reid

CoRR, March, 2026

2025

Exponential Dynamic Energy Network for High Capacity Sequence Memory.

Arjun Karuvally, Pichsinee Lertsaroj, Terrence J. Sejnowski, Hava T. Siegelmann

CoRR, October, 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, July, 2025

Bridging Expressivity and Scalability with Adaptive Unitary SSMs.

Arjun Karuvally, Franz Nowak, Thomas A. Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann

CoRR, July, 2025

Transient Dynamics in Lattices of Differentiating Ring Oscillators.

Peter DelMastro, Arjun Karuvally, Hananel Hazan, Hava T. Siegelmann, Edward A. Rietman

CoRR, June, 2025

2024

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks.

Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Model Complexity of Program Phases.

Arjun Karuvally, J. Eliot B. Moss

CoRR, 2023

Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks.

Arjun Karuvally, Peter DelMastro, Hava T. Siegelmann

CoRR, 2023

Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and Manipulation.

Arjun Karuvally, Peter DelMastro, Hava T. Siegelmann

Proceedings of the Topological, 2023

General Sequential Episodic Memory Model.

Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann

Proceedings of the International Conference on Machine Learning, 2023

2022

Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit.

Arjun Karuvally, Terry J. Sejnowski, Hava T. Siegelmann

CoRR, 2022

2019

Learning proposals for sequential importance samplers using reinforced variational inference.

Zafarali Ahmed, Arjun Karuvally, Doina Precup, Simon Gravel

Proceedings of the Deep Reinforcement Learning Meets Structured Prediction, 2019

2018

A Study into the similarity in generator and discriminator in GAN architecture.

Arjun Karuvally

CoRR, 2018