Arjun Karuvally

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 8

Top Topics

Cognitive Architecture

Episodic Memory

Variational Inference

Language Understanding

Top Venues

DeepRLStructPred@ICLR

Publications

Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. CoRR (2024)
Arjun Karuvally, J. Eliot B. Moss
Model Complexity of Program Phases. CoRR (2023)
Arjun Karuvally, Peter DelMastro, Hava T. Siegelmann
Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and Manipulation. TAG-ML (2023)
Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann
General Sequential Episodic Memory Model. ICML (2023)
Arjun Karuvally, Peter DelMastro, Hava T. Siegelmann
Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks. CoRR (2023)
Arjun Karuvally, Terry J. Sejnowski, Hava T. Siegelmann
Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit. CoRR (2022)
Zafarali Ahmed, Arjun Karuvally, Doina Precup, Simon Gravel
Learning proposals for sequential importance samplers using reinforced variational inference. DeepRLStructPred@ICLR (2019)
Arjun Karuvally
A Study into the similarity in generator and discriminator in GAN architecture. CoRR (2018)