Task-Driven Convolutional Recurrent Models of the Visual System. - Aran Nayebi; Daniel Bear; Jonas Kubilius; Kohitij Kar; Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel L. K. Yamins (NeurIPS, 2018)

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. - Jonas Kubilius; Martin Schrimpf; Ha Hong; Najib J. Majaj; Rishi Rajalingham; Elias B. Issa; Kohitij Kar; Pouya Bashivan; Jonathan Prescott-Roy; Kailyn Schmidt; Aran Nayebi; Daniel Bear; et al. (NeurIPS, 2019)

Visual Grounding of Learned Physical Models. - Yunzhu Li; Toru Lin; Kexin Yi; Daniel Bear; Daniel Yamins; Jiajun Wu 001; Joshua B. Tenenbaum; Antonio Torralba 001 (ICML, 2020)

Learning Physical Graph Representations from Visual Scenes. - Daniel Bear; Chaofei Fan; Damian Mrowca; Yunzhu Li; Seth Alter; Aran Nayebi; Jeremy Schwartz; Li Fei-Fei 001; Jiajun Wu 001; Josh Tenenbaum 001; Daniel L. K. Yamins (NeurIPS, 2020)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; Elias Wang; et al. (CoRR, 2020)

Measuring and predicting variation in the interestingness of physical structures. - Cameron Holdaway; Daniel M. Bear; Samaher Radwan; Michael C. Frank; Daniel L. K. Yamins; Judith E. Fan (CogSci, 2021)

Predicting children's and adults' preferences in physical interactions via physics simulation. - George Kachergis; Samaher Radwan; Bria Long; Judith E. Fan; Michael Lingelbach; Daniel M. Bear; Daniel L. K. Yamins; Michael C. Frank (CogSci, 2021)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines. - Daniel Bear; Elias Wang; Damian Mrowca; Felix J. Binder; Hsiao-Yu Tung; R. T. Pramod; Cameron Holdaway; Sirui Tao; Kevin A. Smith 001; Fan-Yun Sun; Fei-Fei Li 001; Nancy Kanwisher; et al. (NeurIPS Datasets and Benchmarks, 2021)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Damian Mrowca; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; et al. (NeurIPS Datasets and Benchmarks, 2021)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines. - Daniel M. Bear; Elias Wang; Damian Mrowca; Felix J. Binder; Hsiau-Yu Fish Tung; R. T. Pramod; Cameron Holdaway; Sirui Tao; Kevin A. Smith 001; Fan-Yun Sun; Li Fei-Fei 001; Nancy Kanwisher; et al. (CoRR, 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)

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)

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition. - Aran Nayebi; Javier Sagastuy-Breña; Daniel M. Bear; Kohitij Kar; Jonas Kubilius; Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel L. K. Yamins (Neural Comput., 2022)

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. - Hsiao-Yu Tung; Mingyu Ding; Zhenfang Chen; Daniel Bear; Chuang Gan 001; Josh Tenenbaum 001; Dan Yamins; Judith E. Fan; Kevin A. Smith 001 (NeurIPS, 2023)

Unifying (Machine) Vision via Counterfactual World Modeling. - Daniel M. Bear; Kevin T. Feigelis; Honglin Chen; Wanhee Lee; Rahul Mysore Venkatesh; Klemen Kotar; Alex Durango; Daniel L. K. Yamins (CoRR, 2023)

Counterfactual World Modeling for Physical Dynamics Understanding. - Rahul Mysore Venkatesh; Honglin Chen; Kevin T. Feigelis; Daniel M. Bear; Khaled Jedoui; Klemen Kotar; Felix J. Binder; Wanhee Lee; Sherry Liu; Kevin A. Smith 001; Judith E. Fan; Daniel L. K. Yamins (CoRR, 2023)

Understanding Physical Dynamics with Counterfactual World Modeling. - Rahul Mysore Venkatesh; Honglin Chen; Kevin T. Feigelis; Daniel M. Bear; Khaled Jedoui; Klemen Kotar; Felix J. Binder; Wanhee Lee; Sherry Liu; Kevin A. Smith 001; Judith E. Fan; Daniel L. K. Yamins (ECCV (24), 2024)

Unsupervised 3D Scene Representation Learning via Movable Object Inference. - Honglin Chen; Wanhee Lee; Hong-Xing Yu; Rahul Mysore Venkatesh; Joshua B. Tenenbaum; Daniel Bear; Jiajun Wu 001; Daniel L. K. Yamins (Trans. Mach. Learn. Res., 2024)

Discovering and using Spelke segments. - Rahul Mysore Venkatesh; Klemen Kotar; Lilian Naing Chen; Seungwoo Kim; Luca Thomas Wheeler; Jared Watrous; Ashley Xu; Gia Ancone; Wanhee Lee; Honglin Chen; Daniel Bear; Stefan Stojanov; et al. (CoRR, 2025)