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ORCIDArjun Karuvally
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2020 – today
- 2026
[i11]Mayug Maniparambil, Nils Hoehing, Janak Kapuriya, Arjun Karuvally, Ellen Rushe, Anthony Ventresque, Noel E. O'Connor, Fergal Reid:
TopoBench: Benchmarking LLMs on Hard Topological Reasoning. CoRR abs/2603.12133 (2026)- [i10]Mayug Maniparambil, Arjun Karuvally, Terrence J. Sejnowski, Fergal Reid:
When RL Suppresses Its Own Vocabulary: Recovering Reasoning Diversity in Puzzle-to-Math Transfer. CoRR abs/2605.29190 (2026) - 2025
- [i9]Peter DelMastro, Arjun Karuvally, Hananel Hazan, Hava T. Siegelmann, Edward A. Rietman:
Transient Dynamics in Lattices of Differentiating Ring Oscillators. CoRR abs/2506.07253 (2025) - [i8]Arjun Karuvally, Franz Nowak, Thomas A. Keller, Carmen Amo Alonso, Terrence J. Sejnowski, Hava T. Siegelmann:
Bridging Expressivity and Scalability with Adaptive Unitary SSMs. CoRR abs/2507.05238 (2025) - [i7]Alexander Yeung, Peter DelMastro, Arjun Karuvally, Hava T. Siegelmann, Edward A. Rietman, Hananel Hazan:
Reservoir Computation with Networks of Differentiating Neuron Ring Oscillators. CoRR abs/2507.21377 (2025) - [i6]Arjun Karuvally, Pichsinee Lertsaroj, Terrence J. Sejnowski, Hava T. Siegelmann:
Exponential Dynamic Energy Network for High Capacity Sequence Memory. CoRR abs/2510.24965 (2025) - 2024
- [c4]Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann:
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. ICML 2024: 23266-23290 - [i5]Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann:
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. CoRR abs/2402.10163 (2024) - 2023
- [c3]Arjun Karuvally
, Terrence J. Sejnowski, Hava T. Siegelmann:
General Sequential Episodic Memory Model. ICML 2023: 15900-15910 - [c2]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: 371-383 - [i4]Arjun Karuvally, Peter DelMastro, Hava T. Siegelmann:
Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks. CoRR abs/2310.02430 (2023) - [i3]Arjun Karuvally, J. Eliot B. Moss:
Model Complexity of Program Phases. CoRR abs/2310.03865 (2023) - 2022
- [i2]Arjun Karuvally, Terry J. Sejnowski, Hava T. Siegelmann:
Energy-based General Sequential Episodic Memory Networks at the Adiabatic Limit. CoRR abs/2212.05563 (2022)
2010 – 2019
- 2019
- [c1]Zafarali Ahmed, Arjun Karuvally, Doina Precup, Simon Gravel:
Learning proposals for sequential importance samplers using reinforced variational inference. DeepRLStructPred@ICLR 2019 - 2018
- [i1]Arjun Karuvally:
A Study into the similarity in generator and discriminator in GAN architecture. CoRR abs/1802.07401 (2018)
Coauthor Index
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