Daniel L. Yamins

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 9

Top Topics

Object Recognition

Matrix Decomposition

Top Venues

Publications

Daniel Kunin, Javier Sagastuy-Breña, Surya Ganguli, Daniel L. Yamins, Hidenori Tanaka
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics. ICLR (2021)
Daniel Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Josh Tenenbaum, Daniel L. Yamins
Learning Physical Graph Representations from Visual Scenes. NeurIPS (2020)
Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. Yamins
Identifying Learning Rules From Neural Network Observables. NeurIPS (2020)
Hidenori Tanaka, Daniel Kunin, Daniel L. Yamins, Surya Ganguli
Pruning neural networks without any data by iteratively conserving synaptic flow. NeurIPS (2020)
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, Daniel L. Yamins, James J. DiCarlo
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS (2019)
Nick Haber, Damian Mrowca, Stephanie Wang, Li Fei-Fei, Daniel L. Yamins
Learning to Play With Intrinsically-Motivated, Self-Aware Agents. NeurIPS (2018)
Damian Mrowca, Chengxu Zhuang, Elias Wang, Nick Haber, Li Fei-Fei, Josh Tenenbaum, Daniel L. Yamins
Flexible neural representation for physics prediction. NeurIPS (2018)
Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. Yamins
Task-Driven Convolutional Recurrent Models of the Visual System. NeurIPS (2018)
Chengxu Zhuang, Jonas Kubilius, Mitra J. Z. Hartmann, Daniel L. Yamins
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System. NIPS (2017)