Bear, Daniel

6 publications

TMLR 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, Daniel LK Yamins

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

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

ICML 2020 Visual Grounding of Learned Physical Models Yunzhu Li, Toru Lin, Kexin Yi, Daniel Bear, Daniel Yamins, Jiajun Wu, Joshua Tenenbaum, Antonio Torralba

NeurIPS 2019 Brain-like Object Recognition with High-Performing Shallow Recurrent ANNs Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Rishi Rajalingham, Ha Hong, Najib Majaj, Elias Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L Yamins, James J DiCarlo

NeurIPS 2018 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 Yamins