Explaining the Gestalt principle of common fate as amortized inference. - Yoni Friedman; Tuan Anh Le 001; Bernhard Egger 001; Max H. Siegel; Josh Tenenbaum 001 (CogSci, 2021)

Language as a bootstrap for compositional visual reasoning. - Catherine Wong; Yoni Friedman; Jacob Andreas; Josh Tenenbaum 001 (CogSci, 2021)

Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. - Matthew R. Whiteway; Dan Biderman; Yoni Friedman; Mario Dipoppa; Estefany Kelly Buchanan; Anqi Wu; John Zhou; Niccolò Bonacchi; Nathaniel J. Miska; Jean-Paul Noel; Erica Rodriguez; Michael Schartner; et al. (PLoS Comput. Biol., 2021)

Benchmarking mid-level vision with texture-defined 3D objects. - Yoni Friedman; Thomas P. O'Connell; Max H. Siegel; Daniel M. Bear; Tuan Anh Le 001; Bernhard Egger 001; Josh Tenenbaum 001 (CogSci, 2022)

Identifying concept libraries from language about object structure. - Catherine Wong; William P. McCarthy; Gabriel Grand; Yoni Friedman; Josh Tenenbaum 001; Jacob Andreas; Robert D. Hawkins; Judith E. Fan (CogSci, 2022)

Unsupervised Segmentation in Real-World Images via Spelke Object Inference. - Honglin Chen; Rahul Mysore Venkatesh; Yoni Friedman; Jiajun Wu 001; Joshua B. Tenenbaum; Daniel L. K. Yamins; Daniel M. Bear (ECCV (29), 2022)

Advancing Cognitive Science and AI with Cognitive-AI Benchmarking. - Felix Jedidja Binder; Logan Matthew Cross; Yoni Friedman; Robert D. Hawkins; Daniel L. K. Yamins; Judith E. Fan (CogSci, 2023)

Approaching human 3D shape perception with neurally mappable models. - Thomas P. O'Connell; Tyler Bonnen; Yoni Friedman; Ayush Tewari; Joshua B. Tenenbaum; Vincent Sitzmann; Nancy Kanwisher (CoRR, 2023)

Evaluating Multiview Object Consistency in Humans and Image Models. - Tyler Bonnen; Stephanie Fu; Yutong Bai; Thomas P. O'Connell; Yoni Friedman; Nancy Kanwisher; Josh Tenenbaum 001; Alexei A. Efros (NeurIPS, 2024)