Jacob L. Russin

According to our database, Jacob L. Russin authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks.

Jacob Russin, Sam Whitman McGrath, Danielle J. Williams, Lotem Elber-Dorozko

CoRR, 2024

Multiple Realizability and the Rise of Deep Learning.

Sam Whitman McGrath, Jacob Russin

CoRR, 2024

Human Curriculum Effects Emerge with In-Context Learning in Neural Networks.

Jacob Russin, Ellie Pavlick, Michael J. Frank

CoRR, 2024

2023

The Relational Bottleneck as an Inductive Bias for Efficient Abstraction.

Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen

CoRR, 2023

2022

Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention.

Ayush K. Chakravarthy, Jacob Labe Russin, Randall C. O'Reilly

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

The Geometry of Map-Like Representations under Dynamic Cognitive Control.

Maryam Zolfaghar, Jacob L. Russin, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

A Neural Network Model of Continual Learning with Cognitive Control.

Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Deep Predictive Learning in Neocortex and Pulvinar.

Randall C. O'Reilly, Jacob L. Russin, Maryam Zolfaghar, John Rohrlich

J. Cogn. Neurosci., 2021

Complementary Structure-Learning Neural Networks for Relational Reasoning.

Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Compositional processing emerges in neural networks solving math problems.

Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020

Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics.

Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Compositional Generalization by Factorizing Alignment and Translation.

Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

Compositional generalization in a deep seq2seq model by separating syntax and semantics.

Jake Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio

CoRR, 2019