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ORCIDJacob L. Russin
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2020 – today
- 2024
[i8]Jacob Russin
, Ellie Pavlick, Michael J. Frank:
Human Curriculum Effects Emerge with In-Context Learning in Neural Networks. CoRR abs/2402.08674 (2024)- [i7]Sam Whitman McGrath, Jacob Russin:
Multiple Realizability and the Rise of Deep Learning. CoRR abs/2405.13231 (2024) - [i6]Jacob Russin, Sam Whitman McGrath, Danielle J. Williams, Lotem Elber-Dorozko:
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks. CoRR abs/2405.15164 (2024) - 2023
- [i5]Taylor W. Webb, Steven M. Frankland, Awni Altabaa, Kamesh Krishnamurthy, Declan Campbell, Jacob L. Russin, Randall C. O'Reilly, John Lafferty, Jonathan D. Cohen:
The Relational Bottleneck as an Inductive Bias for Efficient Abstraction. CoRR abs/2309.06629 (2023) - 2022
- [c7]Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
A Neural Network Model of Continual Learning with Cognitive Control. CogSci 2022 - [c6]Maryam Zolfaghar, Jacob L. Russin, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
The Geometry of Map-Like Representations under Dynamic Cognitive Control. CogSci 2022 - [c5]Ayush K. Chakravarthy, Jacob Labe Russin, Randall C. O'Reilly:
Systematicity Emerges in Transformers when Abstract Grammatical Roles Guide Attention. NAACL-HLT (Student Research Workshop) 2022: 1-8 - [i4]Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
A Neural Network Model of Continual Learning with Cognitive Control. CoRR abs/2202.04773 (2022) - 2021
- [j1]Randall C. O'Reilly, Jacob L. Russin, Maryam Zolfaghar, John Rohrlich:
Deep Predictive Learning in Neocortex and Pulvinar. J. Cogn. Neurosci. 33(6): 1158-1196 (2021) - [c4]Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional processing emerges in neural networks solving math problems. CogSci 2021 - [c3]Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
Complementary Structure-Learning Neural Networks for Relational Reasoning. CogSci 2021 - [i3]Jacob L. Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly:
Complementary Structure-Learning Neural Networks for Relational Reasoning. CoRR abs/2105.08944 (2021) - [i2]Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional Processing Emerges in Neural Networks Solving Math Problems. CoRR abs/2105.08961 (2021) - 2020
- [c2]Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio:
Compositional Generalization by Factorizing Alignment and Translation. ACL (student) 2020: 313-327 - [c1]Jacob L. Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio:
Systematicity in a Recurrent Neural Network by Factorizing Syntax and Semantics. CogSci 2020
2010 – 2019
- 2019
- [i1]Jake Russin, Jason Jo, Randall C. O'Reilly, Yoshua Bengio:
Compositional generalization in a deep seq2seq model by separating syntax and semantics. CoRR abs/1904.09708 (2019)
Coauthor Index
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