Yamins, Daniel L

9 publications

NeurIPS 2020 Identifying Learning Rules from Neural Network Observables Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L Yamins

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

NeurIPS 2020 Pruning Neural Networks Without Any Data by Iteratively Conserving Synaptic Flow Hidenori Tanaka, Daniel Kunin, Daniel L Yamins, Surya Ganguli

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 Flexible Neural Representation for Physics Prediction Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li F Fei-Fei, Josh Tenenbaum, Daniel L Yamins

NeurIPS 2018 Learning to Play with Intrinsically-Motivated, Self-Aware Agents Nick Haber, Damian Mrowca, Stephanie Wang, Li F Fei-Fei, Daniel L Yamins

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

NeurIPS 2017 Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System Chengxu Zhuang, Jonas Kubilius, Mitra JZ Hartmann, Daniel L Yamins

NeurIPS 2013 Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream Daniel L Yamins, Ha Hong, Charles Cadieu, James J DiCarlo