Surya Ganguli
Surya Ganguli
Associate Professor, Stanford University
Zweryfikowany adres z - Strona główna
Cytowane przez
Cytowane przez
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
AM Saxe, JL McClelland, S Ganguli
arXiv preprint arXiv:1312.6120, 2013
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Y Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio
arXiv preprint arXiv:1406.2572, 2014
Continual learning through synaptic intelligence
F Zenke, B Poole, S Ganguli
International Conference on Machine Learning, 3987-3995, 2017
Deep knowledge tracing
C Piech, J Spencer, J Huang, S Ganguli, M Sahami, L Guibas, ...
arXiv preprint arXiv:1506.05908, 2015
On the expressive power of deep neural networks
M Raghu, B Poole, J Kleinberg, S Ganguli, J Sohl-Dickstein
international conference on machine learning, 2847-2854, 2017
Exponential expressivity in deep neural networks through transient chaos
B Poole, S Lahiri, M Raghu, J Sohl-Dickstein, S Ganguli
Advances in neural information processing systems, 3360-3368, 2016
Memory traces in dynamical systems
S Ganguli, D Huh, H Sompolinsky
Proceedings of the National Academy of Sciences 105 (48), 18970-18975, 2008
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
Superspike: Supervised learning in multilayer spiking neural networks
F Zenke, S Ganguli
Neural computation 30 (6), 1514-1541, 2018
On simplicity and complexity in the brave new world of large-scale neuroscience
P Gao, S Ganguli
Current opinion in neurobiology 32, 148-155, 2015
Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis
S Ganguli, H Sompolinsky
Annual review of neuroscience 35, 485-508, 2012
Deep information propagation
SS Schoenholz, J Gilmer, S Ganguli, J Sohl-Dickstein
arXiv preprint arXiv:1611.01232, 2016
Environmental boundaries as an error correction mechanism for grid cells
K Hardcastle, S Ganguli, LM Giocomo
Neuron 86 (3), 827-839, 2015
Cortical layer–specific critical dynamics triggering perception
JH Marshel, YS Kim, TA Machado, S Quirin, B Benson, J Kadmon, C Raja, ...
Science 365 (6453), 2019
Deep unsupervised learning using nonequilibrium thermodynamics
J Sohl-Dickstein, E Weiss, N Maheswaranathan, S Ganguli
International Conference on Machine Learning, 2256-2265, 2015
Deep learning models of the retinal response to natural scenes
L McIntosh, N Maheswaranathan, A Nayebi, S Ganguli, S Baccus
Advances in neural information processing systems, 1369-1377, 2016
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
J Pennington, SS Schoenholz, S Ganguli
Proceedings of the 31st International Conference on Neural Information …, 2017
Holographic protection of chronology in universes of the Gödel type
EK Boyda, S Ganguli, P Hořava, U Varadarajan
Physical Review D 67 (10), 106003, 2003
A multiplexed, heterogeneous, and adaptive code for navigation in medial entorhinal cortex
K Hardcastle, N Maheswaranathan, S Ganguli, LM Giocomo
Neuron 94 (2), 375-387. e7, 2017
One-dimensional dynamics of attention and decision making in LIP
S Ganguli, JW Bisley, JD Roitman, MN Shadlen, ME Goldberg, KD Miller
Neuron 58 (1), 15-25, 2008
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