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Identifying Learning Rules From Neural Network Observables


Oct 22, 2020
Aran Nayebi, Sanjana Srivastava, Surya Ganguli, Daniel L. K. Yamins

* NeurIPS 2020 Camera Ready Version, 21 pages including supplementary information, 13 figures 

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Learning Physical Graph Representations from Visual Scenes


Jun 24, 2020
Daniel M. Bear, Chaofei Fan, Damian Mrowca, Yunzhu Li, Seth Alter, Aran Nayebi, Jeremy Schwartz, Li Fei-Fei, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins

* 23 pages; corrected affiliations and acknowledgments 

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Two Routes to Scalable Credit Assignment without Weight Symmetry


Feb 28, 2020
Daniel Kunin, Aran Nayebi, Javier Sagastuy-Brena, Surya Ganguli, Jon Bloom, Daniel L. K. Yamins

* 19 pages including supplementary information, 10 figures 

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From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction


Dec 12, 2019
Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya Ganguli

* Neural Information Processing Systems (NeurIPS), 2019 

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Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs


Oct 28, 2019
Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo

* NeurIPS 2019 (Oral). Code available at https://github.com/dicarlolab/neurips2019 

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Task-Driven Convolutional Recurrent Models of the Visual System


Oct 27, 2018
Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins

* NIPS 2018 Camera Ready Version, 16 pages including supplementary information, 6 figures 

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Biologically inspired protection of deep networks from adversarial attacks


Mar 27, 2017
Aran Nayebi, Surya Ganguli

* 11 pages 

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Deep Learning Models of the Retinal Response to Natural Scenes


Feb 06, 2017
Lane T. McIntosh, Niru Maheswaranathan, Aran Nayebi, Surya Ganguli, Stephen A. Baccus

* Advances in Neural Information Processing Systems 29 (2016) 1361-1369 
* L.T.M. and N.M. contributed equally to this work. Presented at NIPS 2016 

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