Algorithms for the Computation of Reduced Convex Hulls. - Ben Goodrich; David W. Albrecht; Peter E. Tischer (Australasian Conference on Artificial Intelligence, 2009)

Accelerating Radius-Margin Parameter Selection for SVMs Using Geometric Bounds. - Ben Goodrich; David W. Albrecht; Peter E. Tischer (ICDM, 2010)

Generating Wikipedia by Summarizing Long Sequences. - Peter J. Liu; Mohammad Saleh; Etienne Pot; Ben Goodrich; Ryan Sepassi; Lukasz Kaiser; Noam Shazeer (ICLR (Poster), 2018)

Imitation Learning from Visual Data with Multiple Intentions. - Aviv Tamar; Khashayar Rohanimanesh; Yinlam Chow; Chris Vigorito; Ben Goodrich; Michael Kahane; Derik Pridmore (ICLR (Poster), 2018)

Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset. - Bill Byrne; Karthik Krishnamoorthi; Chinnadhurai Sankar; Arvind Neelakantan; Ben Goodrich; Daniel Duckworth; Semih Yavuz; Amit Dubey; Kyu-Young Kim; Andy Cedilnik (EMNLP/IJCNLP (1), 2019)

Assessing The Factual Accuracy of Generated Text. - Ben Goodrich; Vinay Rao; Peter J. Liu; Mohammad Saleh (KDD, 2019)

Parallel Scheduled Sampling. - Daniel Duckworth; Arvind Neelakantan; Ben Goodrich; Lukasz Kaiser; Samy Bengio (CoRR, 2019)

Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning. - Arvind Neelakantan; Semih Yavuz; Sharan Narang; Vishaal Prasad; Ben Goodrich; Daniel Duckworth; Chinnadhurai Sankar; Xifeng Yan (CoRR, 2019)

Depth by Poking: Learning to Estimate Depth from Self-Supervised Grasping. - Ben Goodrich; Alex Kuefler; William D. Richards (ICRA, 2020)

Efficient Bayesian Structural Equation Modeling in Stan. - Edgar C. Merkle; Ellen Fitzsimmons; James Ohisei Uanhoro; Ben Goodrich (J. Stat. Softw., 2021)

Visualizing distributions of covariance matrices. - Tomoki Tokuda; Ben Goodrich; Iven Van Mechelen; Andrew Gelman; Francis Tuerlinckx (J. Data Sci. Stat. Vis., 2025)