Learning to generate images with perceptual similarity metrics. - Karl Ridgeway; Jake Snell; Brett Roads; Richard S. Zemel; Michael C. Mozer (CoRR, 2015)

Designing Engaging Games Using Bayesian Optimization. - Mohammad Khajah; Brett D. Roads; Robert V. Lindsey; Yun-En Liu; Michael C. Mozer (CHI, 2016)

Learning to generate images with perceptual similarity metrics. - Jake Snell; Karl Ridgeway; Renjie Liao; Brett D. Roads; Michael C. Mozer; Richard S. Zemel (ICIP, 2017)

Improving Human-Machine Cooperative Classification Via Cognitive Theories of Similarity. - Brett D. Roads; Michael C. Mozer (Cogn. Sci., 2017)

The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks. - Xiaoliang Luo; Brett D. Roads; Bradley C. Love (CoRR, 2020)

The perceptual boost of visual attention is task-dependent in naturalistic settings. - Freddie Bickford Smith; Xiaoliang Luo; Brett D. Roads; Bradley C. Love (CoRR, 2020)

Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity. - Maria Attarian; Brett D. Roads; Michael C. Mozer (CoRR, 2020)

Learning as the unsupervised alignment of conceptual systems. - Brett D. Roads; Bradley C. Love (Nat. Mach. Intell., 2020)

Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings. - Brett D. Roads; Bradley C. Love (CVPR, 2021)

Understanding top-down attention using task-oriented ablation design. - Freddie Bickford Smith; Brett D. Roads; Xiaoliang Luo; Bradley C. Love (CoRR, 2021)

Predicting the Ease of Human Category Learning Using Radial Basis Function Networks. - Brett D. Roads; Michael C. Mozer (Neural Comput., 2021)

A too-good-to-be-true prior to reduce shortcut reliance. - Nikolay Dagaev; Brett D. Roads; Xiaoliang Luo; Daniel N. Barry; Kaustubh R. Patil; Bradley C. Love (Pattern Recognit. Lett., 2023)

EgoToM: Benchmarking Theory of Mind Reasoning from Egocentric Videos. - Yuxuan Li; Vijay Veerabadran; Michael L. Iuzzolino; Brett D. Roads; Asli Celikyilmaz; Karl Ridgeway (CoRR, 2025)