Surya Ganguli
Surya Ganguli
Associate Professor, Stanford University
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Zitiert von
Zitiert von
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
YN Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio
Advances in neural information processing systems, 2933-2941, 2014
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
Continual learning through synaptic intelligence
F Zenke, B Poole, S Ganguli
Proceedings of machine learning research 70, 3987, 2017
Deep knowledge tracing
C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ...
Advances in neural information processing systems, 505-513, 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
Compressed sensing, sparsity, and dimensionality in neuronal information processing and data analysis
S Ganguli, H Sompolinsky
Annual review of neuroscience 35, 485-508, 2012
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
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
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
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
Superspike: Supervised learning in multilayer spiking neural networks
F Zenke, S Ganguli
Neural computation 30 (6), 1514-1541, 2018
Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
J Pennington, S Schoenholz, S Ganguli
Advances in neural information processing systems, 4785-4795, 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
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
Deep unsupervised learning using nonequilibrium thermodynamics
J Sohl-Dickstein, EA Weiss, N Maheswaranathan, S Ganguli
arXiv preprint arXiv:1503.03585, 2015
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
J Sohl-Dickstein, B Poole, S Ganguli
International Conference on Machine Learning, 604-612, 2014
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