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Brian DuSell

According to our database1, Brian DuSell authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The Foundations of Tokenization: Statistical and Computational Concerns.
[BibTeX]
[DOI]
Juan Luis Gastaldi
,
John Terilla
,
Luca Malagutti
,
Brian DuSell
,
Tim Vieira
,
Ryan Cotterell
CoRR, 2024

Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns.
[BibTeX]
[DOI]
Brian DuSell
,
David Chiang
Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Proper Treatment of Tokenization in Psycholinguistics.
[BibTeX]
[DOI]
Mario Giulianelli
,
Luca Malagutti
,
Juan Luis Gastaldi
,
Brian DuSell
,
Tim Vieira
,
Ryan Cotterell
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PILA: A Historical-Linguistic Dataset of Proto-Italic and Latin.
[BibTeX]
[DOI]
Stephen Bothwell
,
Brian DuSell
,
David Chiang
,
Brian Krostenko
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Nondeterministic Stacks in Neural Networks.
[BibTeX]
[DOI]
Brian DuSell
CoRR, 2023

The Surprising Computational Power of Nondeterministic Stack RNNs.
[BibTeX]
[DOI]
Brian DuSell
,
David Chiang
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks.
[BibTeX]
[DOI]
Brian DuSell
,
David Chiang
Proceedings of the Tenth International Conference on Learning Representations, 2022

Algorithms for Weighted Pushdown Automata.
[BibTeX]
[DOI]
Alexandra Butoi
,
Brian DuSell
,
Tim Vieira
,
Ryan Cotterell
,
David Chiang
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020
Learning Context-free Languages with Nondeterministic Stack RNNs.
[BibTeX]
[DOI]
Brian DuSell
,
David Chiang
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2019
Efficiency through Auto-Sizing: Notre Dame NLP's Submission to the WNGT 2019 Efficiency Task.
[BibTeX]
[DOI]
Kenton Murray
,
Brian DuSell
,
David Chiang
Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019


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