Implementation of ECEPP-Based Programs on the IBM SP2 and the SGI Power Challenge Computers. - Timothy J. O'Donnell; Steven Hotovy; Marcia S. Pottle; Daniel R. Ripoll; Harold A. Scheraga (HPCN Europe, 1996)

Analysis of the Early Workload on the Cornell Theory Center IBM SP2. - Steven Hotovy; David Schneider 004; Timothy J. O'Donnell (SIGMETRICS, 1996)

Productivity and Reuse in Language. - Timothy J. O'Donnell; Jesse Snedeker; Joshua B. Tenenbaum; Noah D. Goodman (CogSci, 2011)

Productivity and Reuse in Language: a Developmental Study. - Timothy J. O'Donnell; Jesse Snedeker; Joshua B. Tenenbaum; Noah D. Goodman (CogSci, 2011)

Storage and computation in syntax: Evidence from relative clause priming. - Melissa Troyer; Timothy J. O'Donnell; Evelina Fedorenko; Edward Gibson (CogSci, 2011)

Arguments and Modifiers from the Learner's Perspective. - Leon Bergen; Edward Gibson; Timothy J. O'Donnell (ACL (2), 2013)

A model of rapid phonotactic generalization. - Tal Linzen; Timothy J. O'Donnell (EMNLP, 2015)

Unsupervised Lexicon Discovery from Acoustic Input. - Chia-ying Lee; Timothy J. O'Donnell; James R. Glass (Trans. Assoc. Comput. Linguistics, 2015)

Unsupervised learning of VerbNet argument structure. - Jesse Mu; Timothy J. O'Donnell; Joshua K. Hartshorne (CogSci, 2016)

Evaluating Hierarchies of Verb Argument Structure with Hierarchical Clustering. - Jesse Mu; Joshua K. Hartshorne; Timothy J. O'Donnell (EMNLP, 2017)

A generalized parsing framework for Abstract Grammars. - Daniel Harasim; Chris Bruno; Eva Portelance; Timothy J. O'Donnell (CoRR, 2017)

Mildly context sensitive grammar induction and variational bayesian inference. - Eva Portelance; Leon Bergen; Chris Bruno; Timothy J. O'Donnell (CoRR, 2017)

A Generative Model of Phonotactics. - Richard Futrell; Adam Albright; Peter Graff; Timothy J. O'Donnell (Trans. Assoc. Comput. Linguistics, 2017)

A Generalized Parsing Framework for Generative Models of Harmonic Syntax. - Daniel Harasim; Martin Rohrmeier; Timothy J. O'Donnell (ISMIR, 2018)

Morphological Irregularity Correlates with Frequency. - Shijie Wu; Ryan Cotterell; Timothy J. O'Donnell (ACL (1), 2019)

Evaluating systematicity in neural networks with natural language inference. - Emily Goodwin; Koustuv Sinha; Timothy J. O'Donnell (CogSci, 2019)

On Robustness: An Undervalued Dimension of Human Rationality. - Ardavan Salehi Nobandegani; Kevin da Silva Castanheira; Timothy J. O'Donnell; Thomas R. Shultz (CogSci, 2019)

Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony. - Daniel Harasim; Timothy J. O'Donnell; Martin Rohrmeier (ISMIR, 2019)

CLOSURE: Assessing Systematic Generalization of CLEVR Models. - Dzmitry Bahdanau; Harm de Vries; Timothy J. O'Donnell; Shikhar Murty; Philippe Beaudoin; Yoshua Bengio; Aaron C. Courville (CoRR, 2019)

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. - Wenyu Du; Zhouhan Lin; Yikang Shen; Timothy J. O'Donnell; Yoshua Bengio; Yue Zhang 004 (ACL, 2020)

Probing Linguistic Systematicity. - Emily Goodwin; Koustuv Sinha; Timothy J. O'Donnell (ACL, 2020)

Storage and Computation of Multimorphemic Words in Turkish. - Rabia Ergin; Emily Morgan; Timothy J. O'Donnell (CogSci, 2020)

Recursive Top-Down Production for Sentence Generation with Latent Trees. - Shawn Tan; Yikang Shen; Alessandro Sordoni; Aaron C. Courville; Timothy J. O'Donnell (EMNLP (Findings), 2020)

The Jazz Harmony Treebank. - Daniel Harasim; Christoph Finkensiep; Petter Ericson; Timothy J. O'Donnell; Martin Rohrmeier (ISMIR, 2020)

Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. - Willem H. Zuidema; Robert M. French; Raquel G. Alhama; Kevin Ellis; Timothy J. O'Donnell; Tim Sainburg; Timothy Gentner (Top. Cogn. Sci., 2020)

The Learnability of Goal-directedness in Jazz Music. - Daniel Harasim; Timothy J. O'Donnell; Martin A. Rohrmeier (CogSci, 2021)

Processing differences among irregular inflection classes. - Maya C. Watt; Mika Braginsky; Timothy J. O'Donnell (CogSci, 2021)

Linguistic Dependencies and Statistical Dependence. - Jacob Louis Hoover; Wenyu Du; Alessandro Sordoni; Timothy J. O'Donnell (EMNLP (1), 2021)

Systematic Generalization with Edge Transformers. - Leon Bergen; Timothy J. O'Donnell; Dzmitry Bahdanau (NeurIPS, 2021)

Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention. - Leon Bergen; Dzmitry Bahdanau; Timothy J. O'Donnell (CoRR, 2021)

Compositional Generalization in Dependency Parsing. - Emily Goodwin; Siva Reddy; Timothy J. O'Donnell; Dzmitry Bahdanau (ACL (1), 2022)

Characterizing Idioms: Conventionality and Contingency. - Michaela Socolof; Jackie Chi Kit Cheung; Michael Wagner 019; Timothy J. O'Donnell (ACL (1), 2022)

Measuring Morphological Fusion Using Partial Information Decomposition. - Michaela Socolof; Jacob Louis Hoover; Richard Futrell; Alessandro Sordoni; Timothy J. O'Donnell (COLING, 2022)

Evaluating Distributional Distortion in Neural Language Modeling. - Benjamin LeBrun; Alessandro Sordoni; Timothy J. O'Donnell (ICLR, 2022)

Simplicity and learning to distinguish arguments from modifiers. - Leon Bergen; Edward Gibson; Timothy J. O'Donnell (J. Lang. Model., 2022)

Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests. - Aishik Chakraborty; Jackie C. K. Cheung; Timothy J. O'Donnell (BlackboxNLP@EMNLP, 2023)

The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation. - Kushal Arora; Timothy J. O'Donnell; Doina Precup; Jason Weston; Jackie Chi Kit Cheung (CoRR, 2023)

When does word order matter and when doesn't it? - Xuanda Chen; Timothy J. O'Donnell; Siva Reddy (CoRR, 2024)

A Compositional Typed Semantics for Universal Dependencies. - Laurestine Bradford; Timothy John O'Donnell; Siva Reddy (CoRR, 2024)

Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon. - Amanda Doucette; Ryan Cotterell; Morgan Sonderegger; Timothy J. O'Donnell (CoRR, 2024)

Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models. - Eva Portelance; Siva Reddy; Timothy J. O'Donnell (CoRR, 2024)

From Language Models over Tokens to Language Models over Characters. - Tim Vieira; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Brian DuSell; John Terilla; Timothy J. O'Donnell; Ryan Cotterell (CoRR, 2024)

Information Locality as an Inductive Bias for Neural Language Models. - Taiga Someya; Anej Svete; Brian DuSell; Timothy J. O'Donnell; Mario Giulianelli; Ryan Cotterell (ACL (1), 2025)

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo. - João Loula; Benjamin LeBrun; Li Du; Ben Lipkin; Clemente Pasti; Gabriel Grand; Tianyu Liu 004; Yahya Emara; Marjorie Freedman; Jason Eisner; Ryan Cotterell; Vikash Mansinghka 001; et al. (ICLR, 2025)

The Idiom Processing Advantage is Explained By Surprisal. - Michaela Socolof; Timothy J. O'Donnell; Michael Wagner 019 (Cogn. Sci., 2025)

Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling. - Benjamin Lipkin; Benjamin LeBrun; Jacob Hoover Vigly; João Loula; David R. MacIver; Li Du; Jason Eisner; Ryan Cotterell; Vikash Mansinghka 001; Timothy J. O'Donnell; Alexander K. Lew; Tim Vieira (CoRR, 2025)

Unsupervised Classification of English Words Based on Phonological Information: Discovery of Germanic and Latinate Clusters. - Takashi Morita 001; Timothy J. O'Donnell (CoRR, 2025)

Language Models over Canonical Byte-Pair Encodings. - Tim Vieira; Tianyu Liu 004; Clemente Pasti; Yahya Emara; Brian DuSell; Benjamin LeBrun; Mario Giulianelli; Juan Luis Gastaldi; Timothy J. O'Donnell; Ryan Cotterell (CoRR, 2025)